The document provides an overview of current and future applications of artificial intelligence (AI) in the field of anesthesiology. It discusses how AI is currently used for tasks like pre-anesthesia checkups, operating room monitoring, and teleanesthesia. It predicts that in the future, AI will allow anesthesiologists to control operating room devices and monitors using voice commands. AI may also help automate some cognitive tasks but dexterous skills will still require human anesthesiologists. While AI can reduce some errors, it is unlikely to fully replace anesthesiologists due to the need for human clinical decision making, especially in complex or emergency situations.
The document summarizes a seminar on artificial intelligence presented by Mr. Ishwar Bulbule. It discusses the history of AI, including key events and figures. It also covers different approaches to AI, current applications like Siri and Watson, and potential future uses such as automated transportation, cyborg technology, and improved elder care. The conclusion states that AI has increased understanding of intelligence while also revealing its complexity, providing new challenges for the future.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
This document provides an overview of an artificial intelligence course, including:
- An introduction to AI techniques, problem solving methods, and toy problems like tic-tac-toe.
- Definitions of AI as studying how to make computers do human tasks and involving knowledge representation.
- A history of AI from the 1940s to today, including milestones like the Turing test and Deep Blue beating Kasparov at chess.
- Applications of AI in areas like e-commerce, robotics, navigation, healthcare, agriculture, lifestyle, social media, chatbots, surveillance, and finance.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
Artificial Intelligence And The Legal ProfessionShannon Green
This document summarizes the key developments and implications of artificial intelligence (AI) for the legal profession. It discusses how:
1) AI is being used in legal document analysis, generating legal documents, and advising lawyers by answering questions and monitoring new case law.
2) These applications could impact the number and nature of legal jobs by reducing roles for lower-skilled work and changing the skills required of lawyers, with implications for legal education.
3) Firms may see changes to their structures and business models to adapt to lower costs from AI and changing fee structures. Overall, the document outlines both opportunities and challenges that AI poses for the legal field.
Artificial intelligence (AI) has been the subject of science fiction for decades, and now it’s finally becoming reality with businesses of all sizes jumping on board to explore its capabilities. But what exactly is AI? And how does it work? This article will help you understand the basics of AI and how it can help your business by making your product smarter and more convenient to use.
The document summarizes a seminar on artificial intelligence presented by Mr. Ishwar Bulbule. It discusses the history of AI, including key events and figures. It also covers different approaches to AI, current applications like Siri and Watson, and potential future uses such as automated transportation, cyborg technology, and improved elder care. The conclusion states that AI has increased understanding of intelligence while also revealing its complexity, providing new challenges for the future.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
This document provides an overview of an artificial intelligence course, including:
- An introduction to AI techniques, problem solving methods, and toy problems like tic-tac-toe.
- Definitions of AI as studying how to make computers do human tasks and involving knowledge representation.
- A history of AI from the 1940s to today, including milestones like the Turing test and Deep Blue beating Kasparov at chess.
- Applications of AI in areas like e-commerce, robotics, navigation, healthcare, agriculture, lifestyle, social media, chatbots, surveillance, and finance.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
Artificial Intelligence And The Legal ProfessionShannon Green
This document summarizes the key developments and implications of artificial intelligence (AI) for the legal profession. It discusses how:
1) AI is being used in legal document analysis, generating legal documents, and advising lawyers by answering questions and monitoring new case law.
2) These applications could impact the number and nature of legal jobs by reducing roles for lower-skilled work and changing the skills required of lawyers, with implications for legal education.
3) Firms may see changes to their structures and business models to adapt to lower costs from AI and changing fee structures. Overall, the document outlines both opportunities and challenges that AI poses for the legal field.
Artificial intelligence (AI) has been the subject of science fiction for decades, and now it’s finally becoming reality with businesses of all sizes jumping on board to explore its capabilities. But what exactly is AI? And how does it work? This article will help you understand the basics of AI and how it can help your business by making your product smarter and more convenient to use.
Artificial Intelligence (AI) is transforming the world in ways that were once unimaginable. With its ability to analyze vast amounts of data, learn from experience, and make predictions based on patterns, AI has become an indispensable tool for businesses, governments, and individuals alike. In this blog, we will explore the impact of AI on society and its potential for the future.
The History of AI:
The roots of AI go back to the 1940s when researchers began exploring the idea of creating machines that could simulate human intelligence. The first AI program was written in 1951 by Christopher Strachey, who created a checkers game-playing program. In the following years, AI research progressed rapidly, with researchers developing new algorithms and techniques that enabled machines to learn and improve their performance over time.
One of the key breakthroughs in AI came in the 1980s when researchers developed neural networks, which were inspired by the way the human brain works. Neural networks enabled machines to learn from experience, making them better at tasks such as image recognition and natural language processing.
AI Today:
Today, AI is everywhere, from smartphones and personal assistants to self-driving cars and smart homes. AI-powered systems are used in healthcare to diagnose diseases and develop personalized treatment plans. In finance, AI is used to predict market trends and detect fraud. And in manufacturing, AI is used to optimize production processes and improve product quality.
One of the most exciting areas of AI today is machine learning, which enables machines to learn from data without being explicitly programmed. Machine learning is used in a wide range of applications, from voice recognition and image analysis to predictive maintenance and autonomous vehicles.
AI Ethics and Challenges:
While AI has the potential to transform society for the better, it also poses ethical and societal challenges. One of the most significant challenges is the potential for AI to perpetuate biases and discrimination. For example, facial recognition technology has been found to be less accurate for people with darker skin tones, which could lead to unfair treatment.
Another challenge is the potential for AI to displace jobs. As machines become more capable of performing tasks that were once the exclusive domain of humans, there is a risk that large numbers of people could be left unemployed.
Finally, there is the risk of AI being used for malicious purposes. As AI becomes more sophisticated, it could be used to create autonomous weapons or to conduct cyber attacks.
The Future of AI:
Despite these challenges, the future of AI looks bright. Advances in AI are likely to bring about a new era of productivity and innovation, with machines performing tasks that were once considered impossible for them to do. For example, AI-powered systems could help us develop new drugs, tackle climate change, and explore the univers
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
biraj AI presentation powerpoint slides free to use free to edit you can use this to disover and learn about artificial intelligence . everything is free so use this to do your project in easy just download this and do little edit then your powerpoint presentAtion is ready to use or ready to submit.
stay safe cool stay chill
thank you !!!!!!
The Disadvantages Of Artificial IntelligenceAngela Hays
Artificial intelligence is becoming increasingly important in technology and transforming societies. While AI brings benefits like improved efficiency and productivity, it also poses risks like job disruption and increased inequality. Overall, whether AI improves or worsens societies will depend on how its development and application are guided.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
Unit-II-Introduction of Artifiial Intelligence.pptxHarsha Patel
The document discusses artificial intelligence (AI) and intelligent systems. It defines AI as creating machines that can think and act like humans by learning, reasoning, and problem-solving. It discusses early work in AI from the 1940s-1950s and provides examples of current applications of AI such as self-driving cars, virtual assistants, robots, and more. The document also covers the goals, advantages, and disadvantages of AI as well as its use in domains including healthcare, gaming, transportation, and others.
THE FUTURE OF ARTIFICIAL INTELLIGENCE AND ITS IMPACT ON SOCIETY.pdfSyedZakirHussian
Artificial Intelligence (AI) is the talk of the town! It’s no longer just the stuff of science fiction, but a rapidly evolving technology that’s changing our world in ways we couldn’t have imagined just a few short years ago. From Siri and Alexa to self-driving cars and smart homes, AI is already playing a significant role in our daily lives. But what does the future hold for this cutting-edge technology? How will it continue to impact our society?
In this blog, we’ll be exploring the future of Artificial Intelligence and its impact on society. From advancements in healthcare and employment to privacy and security concerns, we’ll take a deep dive into the many ways AI is shaping our world. And, because we believe that life is too short to be serious all the time, we’ll also sprinkle in a bit of humor to keep things interesting. So, buckle up, and let’s go on a journey to the future!
The advancements in AI are nothing short of remarkable, and it’s exciting to think about what the future holds. But it’s important to remember that with great power comes great responsibility. As we move forward with AI, it’s essential to consider the potential impact on society and to develop responsible practices to ensure that this technology is used for the greater good. We hope this blog will provide a valuable resource for those interested in learning more about the future of Artificial Intelligence and its impact on society.
The document provides an overview of artificial intelligence (AI), including definitions, a brief history, comparisons to the human brain, applications, and pros and cons. It discusses how AI aims to create intelligent machines that can learn, problem solve, and act rationally like humans. The document also summarizes key developments in AI research from the 1950s to present day and provides examples of how AI is used in areas like natural language processing, computer vision, robotics, and more.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
Applications of artificial intelligenceAiman Hafeez
Artificial intelligence and its Application..
--> Definition of Artificial Intelligence And explanation
--> Application of Artificial Intelligence
"Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry."
AI ppt introduction , advandtage pros and cons.pptxdeepakkrlkr2002
The document discusses artificial intelligence (AI), including definitions of intelligence and AI, comparisons of human and artificial intelligence, applications of AI in various fields like medicine, music, gaming, banking, and telecommunications. It also covers the future growth of AI, advantages and disadvantages of AI, limitations of current AI, and concludes that AI development will significantly change the world if developed responsibly by engineers.
History of Artificial Intelligence Evolution of AI.pdfSurvival Tips
The term "artificial intelligence" was coined in the 1950s by computer scientist John McCarthy, who is considered the father of AI. McCarthy believed that machines could be made to reason like humans and perform tasks that were once thought to require human intelligence. His groundbreaking work laid the foundation for the field of AI and inspired generations of researchers to come.
This document provides an overview of artificial intelligence (AI), including its history, types, impact, examples and applications. It begins with definitions of AI and discusses its evolution since the 1950s. The types of AI are described as reactive, limited memory, theory of mind and self-aware. The impact and examples of AI are then summarized, covering increased efficiency, job changes, improved decision making and applications in healthcare, transportation and more. Finally, specific applications of AI are outlined in fields like astronomy, gaming, finance, data security and more.
The document provides an introduction to artificial intelligence, including definitions, goals, and applications of AI. It discusses key concepts such as intelligent systems, the history of AI, foundations of AI, and components of AI systems. Examples are given throughout such as chess-playing programs, self-driving cars, and chatbots like Eliza. The document also summarizes an approach for developing an AI to play the game Tic-Tac-Toe.
1. The guidelines provide recommendations for the timing of regional anesthesia and anticoagulant/antiplatelet medications to reduce the risk of hematoma formation.
2. The recommendations are based on drug half-lives and allow for clearance of 97% of the drug's anticoagulant effect before placement or removal of catheters. For example, it recommends waiting 5 half-lives after discontinuing warfarin.
3. For novel oral anticoagulants like rivaroxaban and apixaban, it recommends waiting 72 hours before catheter placement or removal and considering anti-Factor Xa levels if less time has elapsed. Monitoring and timing recommendations vary based on each drug's pharmacokinetics
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Similar to Artificial intelligence in ANESTHESIA .pdf
Artificial Intelligence (AI) is transforming the world in ways that were once unimaginable. With its ability to analyze vast amounts of data, learn from experience, and make predictions based on patterns, AI has become an indispensable tool for businesses, governments, and individuals alike. In this blog, we will explore the impact of AI on society and its potential for the future.
The History of AI:
The roots of AI go back to the 1940s when researchers began exploring the idea of creating machines that could simulate human intelligence. The first AI program was written in 1951 by Christopher Strachey, who created a checkers game-playing program. In the following years, AI research progressed rapidly, with researchers developing new algorithms and techniques that enabled machines to learn and improve their performance over time.
One of the key breakthroughs in AI came in the 1980s when researchers developed neural networks, which were inspired by the way the human brain works. Neural networks enabled machines to learn from experience, making them better at tasks such as image recognition and natural language processing.
AI Today:
Today, AI is everywhere, from smartphones and personal assistants to self-driving cars and smart homes. AI-powered systems are used in healthcare to diagnose diseases and develop personalized treatment plans. In finance, AI is used to predict market trends and detect fraud. And in manufacturing, AI is used to optimize production processes and improve product quality.
One of the most exciting areas of AI today is machine learning, which enables machines to learn from data without being explicitly programmed. Machine learning is used in a wide range of applications, from voice recognition and image analysis to predictive maintenance and autonomous vehicles.
AI Ethics and Challenges:
While AI has the potential to transform society for the better, it also poses ethical and societal challenges. One of the most significant challenges is the potential for AI to perpetuate biases and discrimination. For example, facial recognition technology has been found to be less accurate for people with darker skin tones, which could lead to unfair treatment.
Another challenge is the potential for AI to displace jobs. As machines become more capable of performing tasks that were once the exclusive domain of humans, there is a risk that large numbers of people could be left unemployed.
Finally, there is the risk of AI being used for malicious purposes. As AI becomes more sophisticated, it could be used to create autonomous weapons or to conduct cyber attacks.
The Future of AI:
Despite these challenges, the future of AI looks bright. Advances in AI are likely to bring about a new era of productivity and innovation, with machines performing tasks that were once considered impossible for them to do. For example, AI-powered systems could help us develop new drugs, tackle climate change, and explore the univers
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
biraj AI presentation powerpoint slides free to use free to edit you can use this to disover and learn about artificial intelligence . everything is free so use this to do your project in easy just download this and do little edit then your powerpoint presentAtion is ready to use or ready to submit.
stay safe cool stay chill
thank you !!!!!!
The Disadvantages Of Artificial IntelligenceAngela Hays
Artificial intelligence is becoming increasingly important in technology and transforming societies. While AI brings benefits like improved efficiency and productivity, it also poses risks like job disruption and increased inequality. Overall, whether AI improves or worsens societies will depend on how its development and application are guided.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
Unit-II-Introduction of Artifiial Intelligence.pptxHarsha Patel
The document discusses artificial intelligence (AI) and intelligent systems. It defines AI as creating machines that can think and act like humans by learning, reasoning, and problem-solving. It discusses early work in AI from the 1940s-1950s and provides examples of current applications of AI such as self-driving cars, virtual assistants, robots, and more. The document also covers the goals, advantages, and disadvantages of AI as well as its use in domains including healthcare, gaming, transportation, and others.
THE FUTURE OF ARTIFICIAL INTELLIGENCE AND ITS IMPACT ON SOCIETY.pdfSyedZakirHussian
Artificial Intelligence (AI) is the talk of the town! It’s no longer just the stuff of science fiction, but a rapidly evolving technology that’s changing our world in ways we couldn’t have imagined just a few short years ago. From Siri and Alexa to self-driving cars and smart homes, AI is already playing a significant role in our daily lives. But what does the future hold for this cutting-edge technology? How will it continue to impact our society?
In this blog, we’ll be exploring the future of Artificial Intelligence and its impact on society. From advancements in healthcare and employment to privacy and security concerns, we’ll take a deep dive into the many ways AI is shaping our world. And, because we believe that life is too short to be serious all the time, we’ll also sprinkle in a bit of humor to keep things interesting. So, buckle up, and let’s go on a journey to the future!
The advancements in AI are nothing short of remarkable, and it’s exciting to think about what the future holds. But it’s important to remember that with great power comes great responsibility. As we move forward with AI, it’s essential to consider the potential impact on society and to develop responsible practices to ensure that this technology is used for the greater good. We hope this blog will provide a valuable resource for those interested in learning more about the future of Artificial Intelligence and its impact on society.
The document provides an overview of artificial intelligence (AI), including definitions, a brief history, comparisons to the human brain, applications, and pros and cons. It discusses how AI aims to create intelligent machines that can learn, problem solve, and act rationally like humans. The document also summarizes key developments in AI research from the 1950s to present day and provides examples of how AI is used in areas like natural language processing, computer vision, robotics, and more.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
Applications of artificial intelligenceAiman Hafeez
Artificial intelligence and its Application..
--> Definition of Artificial Intelligence And explanation
--> Application of Artificial Intelligence
"Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry."
AI ppt introduction , advandtage pros and cons.pptxdeepakkrlkr2002
The document discusses artificial intelligence (AI), including definitions of intelligence and AI, comparisons of human and artificial intelligence, applications of AI in various fields like medicine, music, gaming, banking, and telecommunications. It also covers the future growth of AI, advantages and disadvantages of AI, limitations of current AI, and concludes that AI development will significantly change the world if developed responsibly by engineers.
History of Artificial Intelligence Evolution of AI.pdfSurvival Tips
The term "artificial intelligence" was coined in the 1950s by computer scientist John McCarthy, who is considered the father of AI. McCarthy believed that machines could be made to reason like humans and perform tasks that were once thought to require human intelligence. His groundbreaking work laid the foundation for the field of AI and inspired generations of researchers to come.
This document provides an overview of artificial intelligence (AI), including its history, types, impact, examples and applications. It begins with definitions of AI and discusses its evolution since the 1950s. The types of AI are described as reactive, limited memory, theory of mind and self-aware. The impact and examples of AI are then summarized, covering increased efficiency, job changes, improved decision making and applications in healthcare, transportation and more. Finally, specific applications of AI are outlined in fields like astronomy, gaming, finance, data security and more.
The document provides an introduction to artificial intelligence, including definitions, goals, and applications of AI. It discusses key concepts such as intelligent systems, the history of AI, foundations of AI, and components of AI systems. Examples are given throughout such as chess-playing programs, self-driving cars, and chatbots like Eliza. The document also summarizes an approach for developing an AI to play the game Tic-Tac-Toe.
Similar to Artificial intelligence in ANESTHESIA .pdf (20)
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1. Current Trends & Future Prospects
Dr. Tushar Chokshi
Vadodara
in Anaesthesia
Robot
Anesthetist
Tusha
2. • Audience Poll
• Introduction and Definition of AI
• History and Evolution of AI
• Stages and Types of AI
• How AI works and Uses of AI
• History of AI in Healthcare
• History of AI in Anesthesiology
• Current status of AI in Anesthesiology
• Future of AI in Anesthesiology
• Will AI replace Anesthesiologist
• Journal Articles of AI in Anesthesia
• Conclusion
• Take home message
• My Verdict
• Cartoons & Thanks
Outlines
Tusha
3. • Do you know you are already using AI in your practice ?
• How will AI affect or change clinical decision making in
Anaesthesiology ?
• Will AI reduce errors in Anaesthesia practice ?
• Will you accept AI Anaesthesia practice in future ?
• Will AI replace Anaesthesiologist ?
Tusha
4. Which medical technologies and digital health
innovations can expect the brightest future in the next
decade of Anesthesiology ?
• Health Sensors and Telehealth
• Mixed Reality
• Surgical and Medical Robots
• Brain Computer Interfaces
• Nanotechnology
• 5G
• Direct to Consumer Genetic Testing
• 3D Printing
• Artificial Intelligence
• Quantum Computing
Tusha
5. Artificial intelligence is the capability of computers to
respond in a manner resembling human intelligence
Dictionary Definition
Human Computer
6. AI is like Electricity
Without electricity we can’t think this world Today
Like this
Without AI we won’t think this world in Future
53%
40%
Which Technologies use AI
Tusha
7. John McCarthy
In the 1956 they described
Artificial Intelligence
and gave the definition
Marvin Minsky
Fathers
of
AI
Tusha
8. An approach to make
computer, robot, or
product to think how
smart human think
To studies of how
human brain thinks,
learns, decides and
works, when it tries to
solve problems
To improve computer
functions which are
related to human
knowledge, for
example, reasoning,
learning, and problem-
solving
The ultimate aim is
technological
singularity the point at
which technology
overtakes the human
Tusha
9. AI
ML
DL
DS
Data Science
is a multi-disciplinary field
that uses scientific methods,
processes, algorithms and
systems to extract knowledge
(It applies all mathematical
rules)
Artificial Intelligence (AI), (John McCarthy)
Is the capability of computers to respond in a
manner resembling human intelligence (Machine to
thinks without any human intervention) examples are
Drones, Self driving cars, Search engines like Google
and Medical diagnosis with procedures e.g. Robots in
medicine
Machine Learning (ML), (Arthur Samuel)
Is a subset of artificial intelligence (AI) that
provides systems the ability to automatically
learn and improve from experience without
being explicitly programmed (Provides
statistical tools to explore data, so here
machine learns automatically from past data
without any confusion of any programme)
Deep Learning (DL), (Alexey Ivakhnenko )
Is a subset of machine learning where artificial neural
networks, algorithms inspired by the human
brain, learn from large amounts of data (Human
brain thinking, also called as Deep Neural Network or
Deep Neural Learning)
1956
1959
1965
Tusha
12. History of AI
AI from 380 BC to 1900
Various mathematicians,
theologians, philosophers,
professors, and authors
mused about mechanical
techniques, calculating
machines, and numeral
systems
AI from 1900-1950
People took the “robot” idea
and implemented it into their
research, art, and discoveries
and in 1929 the first robot
was built in Japan
AI in the 1950s
Advances in the field of
artificial intelligence came.
Claude Shannon, “the father of
information theory,” published
“Programming a Computer for
Playing Chess. In 1956 John
McCarthy gave the official birth
of the word AI
AI in the 1960s
Innovation in the field of
artificial intelligence grew
rapidly through the 1960s.
Unimate, the first industrial
robot was developed to work
on a General
Motors assembly
AI in the 1970s
gave way to accelerated
advancements, particularly
focusing on robots and
automatons. WABOT-1, the
first anthropomorphic robot,
was built in Japan at Waseda
University. Its features
included moveable limbs,
ability to see, and ability to
converse
AI in the 1980s
The rapid growth of artificial
intelligence continued
through the 1980s. Mercedes-
Benz built and released a
driverless van equipped with
cameras and sensors
AI in the 1990s
The end of the millennium has
helped artificial intelligence in its
continued stages of advance
growth. Deep Blue, a chess-playing
computer developed by IBM became
the first system to win a chess game
and match against a reigning world
champion Sony introduced AIBO
(Artificial Intelligence RoBOt), a
robotic pet dog
AI from 2000-2010
AI continued its trending
upward. Professor Cynthia
Breazeal developed Kismet, a
robot that could recognize
and simulate emotions with
its face. Honda releases
ASIMO, an artificially
intelligent humanoid robot
Tush
ar
13. 2010
Microsoft launched Kinect for
Xbox 360, the first gaming
device that tracked human
body movement using a 3D
camera and infrared detection
2011
Apple released Siri, a virtual
assistant on Apple iOS operating
systems. Siri uses a natural-
language user interface to infer,
observe, answer, and
recommend things to its human
user
2014
Microsoft released
Cortana, their version of a
virtual assistant similar to
Siri on iOS
2014
Amazon created Amazon
Alexa, a home assistant that
developed into smart speakers
that function as personal
assistants
2015
Elon Musk, Stephen Hawking,
and Steve Wozniak among
3,000 others started the
development and use of
autonomous weapons for
wars and autonomous cars
2015-2017
Google DeepMind’s Alpha Go,
a computer program that
plays the board game Go,
defeated various (human)
champions
2016
Google released Google
Home, a smart speaker that
uses AI to act as a “personal
assistant” to help users
remember tasks, create
appointments, and search for
information by voice.
2017
The Face book Artificial
Intelligence Research lab
introduced chatbots to
communicate with one
another
2018
Samsung introduced Bixby, a
virtual assistant. Bixby’s
functions include Voice, where
the user can speak to and ask
questions, recommendations,
and suggestions
AI 2010 to Present Day
The last decade was
immensely important for AI
innovation
From 2010 onward, artificial
intelligence has become
embedded in our day-to-day
existence
In Smartphone having voice assistants
and computers that have
“intelligence” functions are everything
through advance AI
Tusha
15. What to
expect for AI
in 2020
and beyond ?
Natural
language
processing
(NLP)
Machine
Learning and
Automated
Machine
Learning
Autonomous
vehicles
Chatbot +
Virtual
assistants
Tusha
16. of AI
1) Artificial Narrow Intelligence (ANI)
Weak AI
- Machines has a narrow defined role of task
- e.g. SiRi, Alexa, Sophia, Self Driven Car
2) Artificial General Intelligence (AGI)
Strong AI
- Machine starts thinking just like humans
- under creation and developing all over world
3) Artificial Super Intelligence (ASI)
Super Strong AI
- Computers or Machines will surpass human beings
- Not exist and only seen in science fiction movies
Tusha
17. Reactive Machines AI
A basic type of AI system, they
can only react to currently
existing situations. e.g. Deep
Blue, a chess-playing
supercomputer created by IBM.
(So it works on preset data)
Limited Memory AI
Comprises of machine learning
models that derive knowledge
from previously-learned
information, stored data, or
events. e.g. Autonomous
vehicles, or self-driving cars.
(So it works on past data)
Theory of Mind AI
Is the decision-making ability equal
to the extent of a human mind, but
by machines. Two notable examples
are the robots Kismet and Sophia,
created in 2000 and 2016.
(So it works on emotional
intelligence)
Self-Awareness AI
Involves machines that have human-level
consciousness. This form of AI is not
currently in existence, but would be
considered the most advanced form of
artificial intelligence known to man and
(Pray to GOD it will not exist)
Four Types
of
Artificial
Intelligence
Tusha
20. 800 uses of AI are being benchmarked, e.g. Assessing
breast cancer risk from histopathological imagery,
Guiding anti-venom selection from snake images, and
Diagnosing skin lesions
2019
Various specialties in medicine have shown an increase in
research regarding AI e.g. Radiology, Imaging, Disease
Diagnosis, Telehealth, Electronic health records, Drug
Interactions, Robotic surgery and Anesthesiology
2010
AI programs have been developed and applied to practices such
as diagnosis processes, treatment protocol development, drug
development, personalized medicine, and patient monitoring and
care
Beyond
1990
History of AI in Healthcare
First problem-solving program, or expert system, known as Dendral and
considered one of the most significant early uses of artificial intelligence
in medicine
1960-70
Brought the proliferation of the microcomputer and new levels of
network connectivity and applied to intelligent computing systems
in healthcare
1980-90
25. In historical development, anesthesia was the
earliest subject to implement artificial
intelligence
Anesthesiology first established the concept and
model of pharmacokinetics-pharmacodynamics of
clinical drugs PK/PD model (Pharmacological Robots)
In the 1980s, Servo anesthesia theory system
was formed, this was embryonic form of
automated anesthesia and robotic anesthesia
In 1990s, intravenous anesthesia Target-
Controlled drug Infusion (TCI) has been applied
in clinical practice
With the gradual improvement of anesthesia
monitoring, especially anesthesia depth EEG
monitoring system, the open-loop and closed-
loop automatic anesthesia system established
In recent years, anesthetic robots, technology
robots, diagnosis robots developed rapidly
History
Of AI in
Anaesthesiology
28. Two types Anaesthesia
Robots were developed
1) Manual Robots
2) Pharmacological Robots
The use of the Magellan
robot to perform
peripheral nerve blocks
Manual robots include the Kepler
Intubation System (KIS) intubating
robot, designed to utilized video
laryngoscopy and a robotic arm to
place an endotracheal tube
Pharmacological robots include the
McSleepy intravenous sedation
machine, designed to administer
propofol, narcotic, and muscle
relaxant
The use of the DaVinci
surgical robot to
perform regional
anesthetic blockade
The iControl-RP machine
closed-loop system
intravenous anesthetic
delivery system which makes
its own decisions regarding
the IV administration of
remifentanil and propofol
Tushar
2011
to
2020
29. Currently AI
involved in all
Anesthetizing
patient, who
requires
Preoperative
assessment of all
past medical
problems from the
history
The diagnosis
and treatment of
any complication
during or
following the
anesthetic
Physical examination
Laboratory evaluation
Mask ventilation of
an unconscious patient
Placement of an ET tube
Observation of all vital
monitors during surgery
Removal of the ET tube
at the conclusion of
most surgeries
31. AI in Pre Anaesthesia Checkups(PACs)
• Google Translate will be very useful in PAC
• We can talk and do PAC in patient’s mother tongue
language by AI interface
• e.g. English Speech ---> English Text ---> Local text --->
Local Speech
So communication with patient through AI in their
language will become routine and already established
Tusha
32. AI in Operation Theatres in Future
In future anaesthesiologist will command all gadgets,
monitors and lights in OT by AI which will be
connected with different AI systems
• Ok Google – Increase the height of OT table
• Alexa – Brighten and adjust the OT head lights
• Siri – Increase the AC cooling to 20 degree
Tusha
-- Start the Music and adjust the voice
33. Contd.
• Our future Anaesthesia work station will be
operated by AI with just voice command & data
entry
• Monitors will be controlled and self checked by AI
• Switch On and Switch Off Anaesthesia will become
reality through AI in near future
And, some AI enabled functions are already in
some OT machines and monitors
Tusha
34. AI in Tele Anaesthesia
• With AI you will be virtually present with patient and
colleague anaesthesiologists to guide them in their Peri
operative period and in all procedures
• Even you can control all OT gadgets with your Smartphone
AI Apps
• Tele anaesthesia is not a new concept but combined with AI
it is very useful for teaching, in CMEs and Conferences (e. g.
my webinar talk)
• Combined with Augmented Reality(AR) and AI will change
the concept of Tele Anaesthesia, and you will be giving
virtual anaesthesia to distant OT patients (and it’s a reality
e.g. Tele anaesthesia from Canada to Italy by Dr Hammerling
and colleagues)
Tusha
38. AI Anaesthesiology
AI will work in Anaesthesiology as a Specialty
• Anaesthesiologists need a good mix of cognitive and
dexterity based labour
• AI will primarily result in the automation of cognitive work,
it may be that our hands prevent full automation of the
specialty
• The general dexterity that humans possess allows for a wide
range of functional interaction with our environment
• As AI-based automation systems gain further capability, they
may be able to perform semiautonomous anesthesia
maintenance, where the AI-enabled machine takes over
specified domains of anesthesia maintenance
Tusha
39. Contd.
• Anaesthesia might never be fully automated because it
involves dexterity-based labour
• Current robotic devices don't have exact dexterity
required for tasks
• However, AI could be used in anesthesia to develop
more advanced clinical decision support tools based on
machine learning
• Ultimately, AI and machine learning could enable
anesthesia to become a true perioperative medicine
specialty rather than just an intraoperative specialty
• AI could assume some of anaesthesiologists' cognitive
workload and support "a renewed emphasis on the
doctor-patient relationship,"
Tusha
40. Will AI reduce
Errors in Anesthesiology ?
• Depends on Safety Vs. Complexity (Complication)
• Human dexterity (skill hands) works will not be
replaced by AI Anaesthesia or Robotic Anaesthesia
• AI can control the gadgets, monitors but
anaesthesiologist will require all the time to do
dexterity works like to fill the syringes, to put chest
electrodes or to take clinical decision in odd situations
Tusha
42. Will AI replace Anesthesiologist ?
There are clearly cognitive tasks that AI will eventually assume
from human anesthesiologists, but AI is not able to deal with many
areas of decision making that anesthesiologists routinely perform
Like when the patient‘s well being deteriorates in the OT, almost all
surgeons want an anesthesiologist being to discuss what it will take
to get the patient stable again.
Talking to a robot or machine (no matter how smart it is) just isn’t
the same as addressing the guy who’s been doing anesthesia for
your patients for long time
Tusha
43. >> I do not think that AI will replace anaesthesiologist anytime
soon
>> Artificial intelligence is still at the very beginning of prototyping, fixing and testing all
errors in anaesthesia
>> On the flip side, we should start actively using and testing AI that is available in order
to experience it and learn to corroborate it in our anaesthesia practice
>> The AI of today will help anaesthesiologists to skip the boring stuff and hopefully
make them more focused and smarter. If you have a talented team and the resources to
play with intelligent monitors and anaesthesia machines, you will get the best results
>> However, in the future we might see particular roles being replaced. The first people
to be let go will likely be those roles that are very task-based and lack creativity
>> The future of artificial intelligence in anaesthesia is unpredictable
>> What is predictable is the intention for AI development. Five years from now, we
might see amazing game-changing inventions as well as continuous steady progress
towards more intelligent, self-thinking monitors, anaesthesia machines and TCI pumps
Tusha
44. Intelligent control in Anaesthesia
(super super speciality)
• Intelligent control is a new and interdisciplinary subject
developed on multiple directions, such as artificial
intelligence and automatic control
• In 1967, Leonde and Mendel first used the concept of
"intelligent control" to apply techniques of memory and
goal decomposition to improve their ability to deal with
uncertainty
• The intelligent control summarized as the combination of
automatic control and artificial intelligence
• Closed loop TCI with anaesthesia depth monitor is
intelligent control system ( Auto Anaesthesia )
• It is widely used in clinical applications, including cardiac
surgery, pheochromocytoma surgery, gastrointestinal
surgery and has had good clinical results
Tusha
48. Pub Med Research
• Artificial Intelligence and Anesthesiology – 833
• Computerized Analysis and Anesthesiology – 282
• Machine Learning and Anesthesiology – 337
• Deep Learning and Anesthesiology – 157
• Smartphone in anaesthesia -- 134
More than 1700 articles in journals
( In Last 15 years)
Tusha
49. Artificial Intelligence in Anesthesiology:
Current Techniques, Clinical Applications, and Limitations
Anesthesiology. 2020 Feb;132(2):379-394. doi: 10.1097/ALN.0000000000002960.
Hashimoto DA, Witkowski E, Gao L, Meireles O, Rosman G.
Six themes of applications of artificial
intelligence in anesthesiology:
e.g.
(1) Depth of anesthesia monitoring,
(2) Control of anesthesia,
(3) Event and risk prediction,
(4) Ultrasound guidance,
(5) Pain management, and
(6) Operating room logistics
Based on papers identified in the review,
several topics within artificial
intelligence were described and
summarized:
(1) Machine learning (including supervised,
unsupervised, and reinforcement learning),
(2) Techniques in artificial intelligence (e.g.,
classical machine learning, neural networks and
deep learning, Bayesian methods),
(3) Major applied fields in artificial intelligence
Artificial intelligence has the potential to impact the practice of anesthesiology in aspects
ranging from perioperative support to critical care delivery to outpatient pain management
CONCLUSIONS
https://www.ncbi.nlm.nih.gov/pubmed/31939856
Tusha
50. Recent advances in the technology of anesthesia
F1000Res v.9; 2020 PMC7236591, 2020 May
Christian Seger, Maxime Cannesson,
The practice of anesthesiology is inextricably dependent upon technology
Consumer technology and telemedicine have exploded onto the scene of outpatient
medicine, and perioperative management
Preoperative evaluations have been done via teleconference, with copious consumer-
generated health data
Inside the operating suite, monitoring has become less invasive, and clinical decision
support systems are common
Automation looms large in the future of anesthesiology as closed-loop anesthesia
delivery systems are being tested in combination
Automation in the delivery of anesthetics and artificial intelligence
Monitoring inside the operating rooms: advances in non-invasive monitoring
Monitoring beyond the operating room: telemedicine and wearable health-care technologies
Clinical decision support and anesthesia information management systems
The innovation landscape in anesthesiology technology
Conclusions
51. A Novel Artificial Intelligence System for Endotracheal Intubation
Prehosp Emerg Care. 2016 Sep-Oct;20(5):667-71. doi: 10.3109/10903127.2016.1139220. Epub 2016 Mar 17.
Carlson JN, Das S, De la Torre F, Frisch A, Guyette FX, Hodgins JK, Yealy DM
CONCLUSIONS
Initial efforts at computer algorithms using artificial
intelligence are able to identify the glottic opening with over
80% accuracy. With further refinements, video laryngoscopy
has the potential to provide real-time, direction feedback to
the provider to help guide successful ETI
https://www.ncbi.nlm.nih.gov/pubmed/26986814
Tusha
52. Machine Learning Models of Post-Intubation Hypoxia During General Anesthesia
Stud Health Technol Inform 2017;243:212-216.
Sippl P , Ganslandt T , Prokosch HU , Muenster T , Toddenroth D
CONCLUSIONS
https://www.ncbi.nlm.nih.gov/pubmed/28883203
We interpret that our machine learning models could be instrumental for
computerized observational studies of the clinical determinants of post-
intubation oxygen deficiency. Future research might also investigate
potential benefits of more advanced preprocessing approaches such as
automated feature learning
Tusha
53. Machine Learning Approach for Preoperative Anaesthetic Risk Prediction
Int. J. of Recent Trends in Engineering and Technology, Vol. 1, No. 2, Nov 2009
Karpagavalli S , Jamuna KS , and Vijaya MS
Risk is ubiquitous in medicine but anesthesia is an unusual specialty as it routinely
involves deliberately placing the patient in a situation that is intrinsically full of risk.
Patient safety depends on management of those risks; consequently, anesthetist has
been at the forefront of clinical risk management. Anaesthetic risk classification is of
prime importance not only in carrying out the day-to-day anesthetic practice but
coincides with surgical risks and morbidity condition. The preoperative assessment is
made to identify the patients risk level based on American Society of Anesthesiologists
(ASA) score that is widely used in anesthetic practice. This helps the anesthetist to
make timely clinical decision.
In the research work, three supervised machine learning schemes were applied on the
preoperative assessment data to predict the anaesthetic risk of the patients and the
performance of the learning methods were evaluated based on their predictive
accuracy and ease of learning
CONCLUSIONS
Tusha
54. Conclusion
Our study demonstrated that the deep learning model is superior to traditional
PK–PD model in predicting BIS during Propofol and Remifentanil target-controlled
infusions in surgical patients. The major advantage of the deep learning approach
is its performance and extensibility. We expect that the accumulation of clinical
big data will make the deep learning model more powerful and extend its
application to a variety of clinical situations in the future.
Prediction of Bispectral Index during Target-controlled Infusion of
Propofol and Remifentanil: (A Deep Learning Approach)
Hyung-Chul Lee, M.D.; Ho-Geol Ryu, M.D., Ph.D.; Eun-Jin Chung, M.D.; Chul-Woo Jung, M.D., Ph.D.
ANESTHESIOLOGY : Perioperative Medicine | March 2018
https://anesthesiology.pubs.asahq.org/article.aspx?articleid=2656314
Tusha
55. Automated anesthesia carts reduce drug recording
errors in medication administrations - A single centre
study in the largest tertiary referral hospital in China
J Clin Anesth. 2017 Aug;40:11-15. doi: 10.1016/j.jclinane.2017.03.051. Epub 2017 Apr 13.
Wang Y, Du Y, Zhao , Ren Y, Zhang W.
CONCLUSIONS
The utilization of automated anesthesia carts reduced the
drug recording errors in medication administrations of
anesthesia
https://www.ncbi.nlm.nih.gov/pubmed/28625429
The total error rate was 7.3% with the automated anesthesia carts (1 in 14
administrations) and 11.9% with conventional manual carts (1 in 8 administrations)
Tusha
56. First robotic tracheal intubations in humans
using the Kepler intubation system (KIS)
BJA: British Journal of Anaesthesia, Volume 108, Issue 6, June 2012, Pages 1011–
1016, https://doi.org/10.1093/bja/aes034
T. M. Hemmerling R. Taddei M. WehbeC. Zaouter S. Cyr J. Morse
Conclusions
We present the first human testing of a robotic intubation system for oral
tracheal intubation. The success rate was high at 91%. Future studies are
needed to assess the performance and safety of such a system
aes034
Tusha
57. Technical communication:
First robotic ultrasound-guided nerve blocks in humans using the Magellan system
Anesth Analg. 2013 Feb;116(2):491-4. doi: 10.1213/ANE.0b013e3182713b49. Epub 2013 Jan 9.
Hemmerling TM, Taddei R, Wehbe M, Cyr S, Zaouter C, Morse J.
Ultrasound-guided nerve blocks are becoming a standard of modern anesthesia.
We developed a robotic system, Magellan, to perform nerve blocks using a
remote control center.
We present the first human testing of a robotic ultrasound-guided nerve
block system. The success rate was 100%. The total performance time was
approximately 3 minutes to 4 minutes
Conclusions
https://www.ncbi.nlm.nih.gov/pubmed/23302984
Tusha
58. McSleepy: Automated Anaesthesia System
"We have been working on closed-loop systems, where drugs are administered, their
effects continuously monitored, and the doses are adjusted accordingly, for the last five
years,” said Dr. Thomas M. Hemmerling of McGill’s Department of Aesthesia and the
Montreal General Hospital, who heads ITAG (Intelligent Technology in Aesthesia research
group), a team of anesthesiologists, biomedical scientists and engineers.
World's first totally automated
administration of an anaesthetic in May 2008
Tusha
60. Robotic Anesthesia – A Vision for the Future of Anesthesia
Transl Med UniSa, 2011 Sep-Dec; 1: 1–20. Published online 2011 Oct 17.
Thomas M Hemmerling, MSc, MD, DEAA, Riccardo Taddei, MD,* Mohamad Wehbe,
MSc, Joshua Morse, Shantale Cyr, PhD, and Cedrick Zaouter, MD*
It offers a first classification of robotic anesthesia by separating it into pharmacological
robots and robots for aiding or replacing manual gestures. Developments in closed loop
anesthesia. First attempts to perform manual tasks using robots
From airway control to anesthesia control
Pharmacologic Robots
Closed loop for hypnosis
Closed loop of Anaesthesia
Closed loop of Analgesia
Anesthesia robots to aid or replace manual gestures
Teleanesthesia
Regional anaesthesia procedure
Placing a perineural catheter for continuous nerve block
Robotic Intubation
Artificial intelligence
Tusha
61. Automated Assessment of Difficult Airway With Facial
Recognition Techniques (PeScho)
https://clinicaltrials.gov/ct2/show/NCT02022397
Responsible
Party:
Patrick Schoettker,MD PD, Associate Professor, University of Lausanne Hospitals
ClinicalTrials.gov
Identifier:
NCT02022397
Other Study ID
Numbers:
183/09
CTI ( Other Grant/Funding Number: Swiss Commission Technology and Innovation
12636.1 )
First Posted: December 27, 2013
Last Update
Posted:
September 26, 2019
Last Verified: September 2019
Study Type : Observational [Patient Registry]
Estimated Enrolment : 6000 participants
Observational Model: Cohort
Time Perspective: Prospective
Target Follow-Up
Duration:
1 Day
Official Title: Automatic Assessment of Difficult Ventilation and Intubation From Automatic Face Analysis
and Artificial Intelligence
Study Start Date : March 2012
Estimated Primary
Completion Date :
December 23, 2020
Study Completion Date : December 23, 2020
Tusha
62. Artificial Intelligence and Machine Learning in Anesthesiology
Christopher W. Connor, M.D., Ph.D
Anesthesiology 12 2019, Vol.131, 1346-1359. doi:
https://doi.org/10.1097/ALN.0000000000002694
Advances in technology and monitoring can change the impetus for machine learning.
For example, a neural network developed to detect esophageal intubation from flow-
loop parameters and will be obviated by continuous capnography
Uses a very highly augmented data set in conjunction with logistic regression to produce
an algorithmic model that can, in post hoc analysis, detect the incipient onset of
hypotension up to 15 min before hypotension actually occurs
Neural network approach to predicting the Bispectral Index (BIS) based upon the
infusion history of propofol and remifentanil
The most plausible route to the introduction of artificial intelligence and machine
learning into anesthetic practice is that the routine intraoperative management of
patients will begin to be handed off to closed-loop control algorithms
Tusha
63. Ethicon Endo-Surgery, a Johnson & Johnson
subsidiary, created SEDASYS, a computer-assisted
device that administers the prescription drug
propofol into the bloodstream via intravenous IV
infusion (approved in 2013)
The device can detect signs associated with over
sedation and can automatically modify or stop
infusion
But it was withdrawn from market
SEDASYS
Tusha
64. Artificial intelligence, machine learning and the pediatric airway
Matava C, et al. Paediatr Anaesth. 2019.
Artificial intelligence and machine learning are rapidly expanding fields
with increasing relevance in anesthesia and, in particular, airway
management. The ability of artificial intelligence and machine learning
algorithms to recognize patterns from large volumes of complex data
makes them attractive for use in pediatric anesthesia airway management
They critically assess the current evidence on the use of artificial
intelligence and machine learning in the assessment, diagnosis,
monitoring, procedure assistance, and predicting outcomes during
pediatric airway management
Tusha
65. The Feasibility of a Completely Automated Total IV
Anesthesia Drug Delivery System for Cardiac Surgery
Anesth Analg 2016;123:885–93
Cedrick Zaouter, MD, MSc, Thomas M. Hemmerling, MD, Romain Lanchon, MD,
Emanuela Valoti, MD, Alain Remy, MD, Sébastien Leuillet, MSc, and Alexandre Ouattara, MD, PhD
In this pilot study, we tested a novel automatic anesthesia system for closed loop
administration of IV anesthesia drugs for cardiac surgical procedures with
cardiopulmonary bypass. This anesthesia drug delivery robot integrates all 3 components
of general anesthesia: hypnosis, analgesia, and muscle relaxation
CONCLUSIONS:
The completely automated closed-loop system tested in this investigation
could be used successfully and safely for cardiac surgery necessitating
cardiopulmonary bypass. The results of the present trial showed satisfactory
clinical performance of anesthesia control
Tusha
74. Applications of artificial intelligence (AI) and machine learning (ML) have
shown promising results in anesthesiology
It is clear that AI will find many applications in anesthesia care, in
delivering real-time results
The contributions of AI to general anesthesia have got advancements in
monitors, TCI machines & closed-loop systems
The fields of postoperative pain management and chronic pain have also
benefited from AI by developing software
AI will also increase the training power of simulations thereby improving
education in anesthesiology
Much more work is required to understand exactly the scope, that AI
will play in anesthesiology
But, in general AI will certainly continue enhancing the patient
experience and Anesthesiologist expertise
A
B
C
D
E
F
G
75. Artificial intelligence (AI) in anesthesia is the use of complex
algorithms and software to estimate human cognition
It will never replace Anaesthesiologist
AI or Robot will be Pilot, but we will always be
there as Co-Pilot
AI will definitely reduce the errors in
anaesthesia practice
In near future we all will witness the changes of
anaesthesia practice with AI
AI in anaesthesia will put zero complication rate
in our practice, which we never recognised
Ultimately we have to accept artificial intelligence in our
practice which we are already practicing
1)
2)
3)
4)
5)
6)
7)
76. The potential of Artificial Intelligence in
anesthesiology with changing patient’s lives beyond
recognition is both exciting and challenging
The anaesthesiologist has to accept the use of AI in
their future practice for learning the art of modern
AI enabled Anaesthesia Machines, Monitors and
Gadgets
Tusha
83. Join
Face Book Groups of
“TIVA Society of India”
&
“Indian Society for Opioid Free Anesthesia”
chokshitushar@hotmail.com
https://sites.google.com/site/tusharchokshisite
9825062245/9979319721