Happy American Heart Association month, everyone! While celebrating this month at EMMA International, we bring you this blog on a medical software tool that utilizes Artificial Intelligence (AI) for providing echocardiography. This is the story of Caption Guidance, the world’s first and only FDA-granted AI-guided cardiac ultrasound software...
The Pursuit of Excellence in Image QualityCarestream
The accuracy of a medical diagnosis can only be as solid as the quality of the X-ray images. In this special report, we look at several ways that imaging facilities can improve their ability to capture pristine radiographs.
The Pursuit of Excellence in Image QualityCarestream
The accuracy of a medical diagnosis can only be as solid as the quality of the X-ray images. In this special report, we look at several ways that imaging facilities can improve their ability to capture pristine radiographs.
Wearables in Healthcare: 2016 Prospects and the Money-Saving PatientEspeo Software
2016 looks to be a disruptive year for healthcare-focused wearables, especially those focused on preventive care or the management of chronic illnesses. This also translates into serious savings for the consumer... and profit for a wearable tech business.
Disruptors in the Medical Imaging IndustryBill Kelly
An overview of the Disruptors in the Medical Imaging Market. This free webinar will also give you more insight on the various factors that influence the market. We touch on results from a survey of a survey of 147 radiologists highlight the importance of reimbursement changes –both “appropriateness” measures and value-based medicine – as the most significant factors that will impact the imaging market.
What are biometric parameters and why do they matter? Valencell, Inc
Biometric parameters don't get much attention, but these hidden gems, found in leading biometric sensor technology, hold a great deal of potential for next-generation wearables and hearables. PPG sensor technology has come to dominate the market for biometric sensors in wearables in part because the PPG waveform can provide a broad range of insights on blood flow characteristics beyond simple heart rate measurement. This enables a rich set of biometric measures, including continuous heart rate, R-R interval (heart rate variability), VO2 max, cardiac efficiency, blood pressure, and more.
In this webinar, we explore how biometric parameters enable device makers to develop new use cases based on PPG sensors and how these parameters also provide confidence in data quality for user experiences and user interfaces.
Is it self-tracking? We are only beginning to understand the power of self-tracking be it due to the quantified self movement or because of the increasing number of connected medical devices. A real opportunity is in understanding how mobile devices will play a key role in the future of our personal health. Medical Devices, sensors, big data, cloud computing are and will continue to enable continuous monitoring of people and patients.
Purna Prasad- Transformation of Healthcare Technology into the Commodity (Con...Levi Shapiro
Transformation of Healthcare Technology into the Commodity (Consumer) Space, by Dr. Purna Prasad, CTO, Northwell Health. Key themes:
- Health Care Is Moving from Hospital to Home
- Innovation
- Sensing
- The Sense of Caring
- Development of the Human Care Model
- Disease
- Input to Actionable Outcomes
- The Driving Factors of Commoditization
- Tethering Patients From Womb to The Tomb
- Health Information Technology Innovation. Commoditization Driving Innovation to Production. The Echo System
- The Innovation Cycle
- Innovation Opportunities
- BYOD (Bring Your Own Device)Currently Available In The Commodity Market
- WYOD – Wear Your Own DeviceCurrently Available In The Commodity Market
- BioMedical Devices Currently Available In The Commodity Market
- Innovation in Health Care Technology Commoditization Opportunities
- Innovation in Security Risk Mitigation
- Northwell Value Added Partners in Commoditizing Health Care Technology
- Commoditization Driving Digital Health
- The Digital Front Door…
- Northwell Cloud
- Telehealth
- Cutting Edge Technologies Under Evaluation/Testing
- Biosensor Technology
- Northwell Drone Ambulance
- Surgical Theater Virtual Reality
- 3D Printing Prototypes (Makerbot)
- The Fin was designed and printed by Northwell Health’s 3D printing experts
- Imagine the Possibilities in Healthcare
Innovation Driving Commoditization
AI in Health Care: How to Implement Medical Imaging using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.
Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
To explore more, visit: https://skyl.ai/form?p=start-trial
Why Data Science Matters and How It Enables Impactful Health Outcomes - WebinarValencell, Inc
Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.
Utilizing wearable technology in remote patient monitoring with aging populat...Valencell, Inc
Most developed nations are experiencing a dramatic aging of the population, which is putting pressure our healthcare systems to provide care outside of medical facilities and driving opportunities for remote patient monitoring systems. In fact, 90% of family caregivers want a way to monitor their loved ones, receive alerts and be involved in their care. This webinar will discuss the trends driving remote patient monitoring today and how these systems are utilizing wearable technology to elevate the level of care possible outside of medical facilities. You won’t want to miss this webinar!
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
Artificial intelligence (AI) is already transforming healthcare. It's an invaluable tool, capable of storing and processing vast amounts of data almost simultaneously. AI allows for rapid and accurate diagnosis, early detection, advanced research and much more.
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
In my software engineering career, I was lucky enough to work on some amazing frameworks and technologies, but nothing compares to the features and computing power enabled by Artificial Intelligence (AI). It is often utilized in cases of predictions, reducing computations, recommendations, and now based on my research, it is heavily being used in the healthcare sector...
Producing Better and Affordable Healthcare Services Using Computational Intel...EMMAIntl
Computational Intelligence (CI) is one of the major pillars of Artificial Intelligence. It is the study, design, and development of intelligent software based on the theory of evolution. Within the past decade, healthcare has become expensive. Also, with the declining doctor-patient ratio, there are constant needs for computing systems for everything from executing simple tasks, such as booking appointments, to major services such as consulting and diagnosis...
Wearables in Healthcare: 2016 Prospects and the Money-Saving PatientEspeo Software
2016 looks to be a disruptive year for healthcare-focused wearables, especially those focused on preventive care or the management of chronic illnesses. This also translates into serious savings for the consumer... and profit for a wearable tech business.
Disruptors in the Medical Imaging IndustryBill Kelly
An overview of the Disruptors in the Medical Imaging Market. This free webinar will also give you more insight on the various factors that influence the market. We touch on results from a survey of a survey of 147 radiologists highlight the importance of reimbursement changes –both “appropriateness” measures and value-based medicine – as the most significant factors that will impact the imaging market.
What are biometric parameters and why do they matter? Valencell, Inc
Biometric parameters don't get much attention, but these hidden gems, found in leading biometric sensor technology, hold a great deal of potential for next-generation wearables and hearables. PPG sensor technology has come to dominate the market for biometric sensors in wearables in part because the PPG waveform can provide a broad range of insights on blood flow characteristics beyond simple heart rate measurement. This enables a rich set of biometric measures, including continuous heart rate, R-R interval (heart rate variability), VO2 max, cardiac efficiency, blood pressure, and more.
In this webinar, we explore how biometric parameters enable device makers to develop new use cases based on PPG sensors and how these parameters also provide confidence in data quality for user experiences and user interfaces.
Is it self-tracking? We are only beginning to understand the power of self-tracking be it due to the quantified self movement or because of the increasing number of connected medical devices. A real opportunity is in understanding how mobile devices will play a key role in the future of our personal health. Medical Devices, sensors, big data, cloud computing are and will continue to enable continuous monitoring of people and patients.
Purna Prasad- Transformation of Healthcare Technology into the Commodity (Con...Levi Shapiro
Transformation of Healthcare Technology into the Commodity (Consumer) Space, by Dr. Purna Prasad, CTO, Northwell Health. Key themes:
- Health Care Is Moving from Hospital to Home
- Innovation
- Sensing
- The Sense of Caring
- Development of the Human Care Model
- Disease
- Input to Actionable Outcomes
- The Driving Factors of Commoditization
- Tethering Patients From Womb to The Tomb
- Health Information Technology Innovation. Commoditization Driving Innovation to Production. The Echo System
- The Innovation Cycle
- Innovation Opportunities
- BYOD (Bring Your Own Device)Currently Available In The Commodity Market
- WYOD – Wear Your Own DeviceCurrently Available In The Commodity Market
- BioMedical Devices Currently Available In The Commodity Market
- Innovation in Health Care Technology Commoditization Opportunities
- Innovation in Security Risk Mitigation
- Northwell Value Added Partners in Commoditizing Health Care Technology
- Commoditization Driving Digital Health
- The Digital Front Door…
- Northwell Cloud
- Telehealth
- Cutting Edge Technologies Under Evaluation/Testing
- Biosensor Technology
- Northwell Drone Ambulance
- Surgical Theater Virtual Reality
- 3D Printing Prototypes (Makerbot)
- The Fin was designed and printed by Northwell Health’s 3D printing experts
- Imagine the Possibilities in Healthcare
Innovation Driving Commoditization
AI in Health Care: How to Implement Medical Imaging using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.
Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you'll learn
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
To explore more, visit: https://skyl.ai/form?p=start-trial
Why Data Science Matters and How It Enables Impactful Health Outcomes - WebinarValencell, Inc
Valencell is transforming the science of wearable biometrics to facilitate impactful health outcomes and data science is a critical part of how we do that. The combination of accurate PPG sensor systems and the latest advancements in data science are opening up new possibilities for health and medical wearables to make an impact on people's lives. We have discovered it takes more than just sensor technology and in this webinar, Valencell offers an overview of the unique data capabilities being developed at our Biometric Data Science Lab. In this webinar, we share information on how we built our world-class data analytics team, the challenges we've overcome, and the data collection platforms and processes we employ.
Utilizing wearable technology in remote patient monitoring with aging populat...Valencell, Inc
Most developed nations are experiencing a dramatic aging of the population, which is putting pressure our healthcare systems to provide care outside of medical facilities and driving opportunities for remote patient monitoring systems. In fact, 90% of family caregivers want a way to monitor their loved ones, receive alerts and be involved in their care. This webinar will discuss the trends driving remote patient monitoring today and how these systems are utilizing wearable technology to elevate the level of care possible outside of medical facilities. You won’t want to miss this webinar!
Artificial intelligence-powered wearable solutions for senior care: A convers...Valencell, Inc
CarePredict, a Florida-based health tech startup, aims to improve seniors’ quality of life with machine learning-driven, actionable wearables insights for care staff and management to provide peace of mind for seniors and their loved ones. By identifying changes in the daily activities and behavior patterns of seniors, predictions can be made about declines in their health, thereby enabling early intervention and adopting a proactive and preventive approach to senior care.
In this webinar, CarePredict shares about their journey from initial concept through prototyping, use case development, business development, and addressing the crisis of a widening gap in the senior to caregiver ratio.
Artificial intelligence (AI) is already transforming healthcare. It's an invaluable tool, capable of storing and processing vast amounts of data almost simultaneously. AI allows for rapid and accurate diagnosis, early detection, advanced research and much more.
Wearables in Clinical Trials: Opportunities and ChallengesValencell, Inc
Wearables are showing the potential to significantly impact the data available for clinical trials and medical researchers in numerous ways. While the quality and efficacy of these devices varies widely, the sensor technologies in these devices has evolved to meet the needs of many clinical research endeavors. Wearables also enable longitudinal biometric data sets that can provide unique insights into the long-term, real-world impact of pharmacotherapies and treatment protocols. There are also many challenges in using wearables in trials, including access to the raw data from wearables, validation of the data from wearable devices, processing and analysis of massive amounts of wearable data, and data security.
This webinar is an interactive discussion on the state of wearables in clinical trials and medical research, where the opportunities are and the challenges to be overcome.
State of Wearables Today - 2018 Consumer SurveyValencell, Inc
A new national survey released today on wearables revealed that actionable, accurate health insights from wearables will be increasingly important to the success of the industry and 63% of respondents have owned a wearable device at some point, up from 42% in 2016. The online survey polled 826 consumers from a wide range of U.S. regions, ages, and income levels on their experiences and preferences around wearables. The 2018 survey is a follow-up from the same survey conducted by Valencell in 2016.
In my software engineering career, I was lucky enough to work on some amazing frameworks and technologies, but nothing compares to the features and computing power enabled by Artificial Intelligence (AI). It is often utilized in cases of predictions, reducing computations, recommendations, and now based on my research, it is heavily being used in the healthcare sector...
Producing Better and Affordable Healthcare Services Using Computational Intel...EMMAIntl
Computational Intelligence (CI) is one of the major pillars of Artificial Intelligence. It is the study, design, and development of intelligent software based on the theory of evolution. Within the past decade, healthcare has become expensive. Also, with the declining doctor-patient ratio, there are constant needs for computing systems for everything from executing simple tasks, such as booking appointments, to major services such as consulting and diagnosis...
One of the major purposes manufacturers incorporate AI or ML in their applications is to ease software computations and to predict precise results. I think compared to any other application, a medical application requires a lot of precise computations and therefore, AI is a perfect solution to enhance performance and productivity. While reading the health-tech news, I came across recent research in this regard, the use of AI in predicting a potential stroke or cardiac arrest. ..
Medical imaging refers to several different technologies that are used to view the human body in order to diagnose, monitor, or treat medical conditions. Today, GPUs are found in almost all imaging modalities - including CT, MRI, x-ray, and ultrasound -- bringing compute capabilities to the edge devices. With the boom of deep learning research in medical imaging, more efficient and improved approaches are being developed to enable AI-assisted workflows.
Artificial intelligence enters the medical fieldRuchi Jain
In the medical and health field, artificial intelligence can help reduce the cost of ongoing health operations, and can have an impact on the quality of medical care for patients everywhere. By diagnosing diseases earlier, AI can also improve patient outcomes. No matter how you look at it, artificial intelligence has great potential in healthcare.
Mobile Applications for Heart and Blood Pressure MonitoringEMMAIntl
Nowadays, there are mobile applications for almost every utility and in every domain. From e-commerce, finance, education, food-industry to healthcare, mobile applications provide impeccable services as these software tools in our mini-computers provide the best user experience and equivalent internet access as observed in a web browser. February is the American Heart Association month and at EMMA International we celebrate this month by presenting this blog on mobile applications that provide services for heart and blood pressure monitoring...
Augmented and Mixed Reality Solutions for Frontline Medical Professionalsthirdeyegen65
The X Series MR Glasses from ThirdEye are enhancing the healthcare journey for both professionals and patients, leading to expedited recovery, superior outcomes, and an enhanced patient experience.
For More Details Visit Here: https://realeye.thirdeyegen.com/
The FDA’s Medical Device Action Plan for Artificial Intelligence and Machine ...EMMAIntl
Artificial Intelligence (AI) is the branch of Computer Science that provides the ability for computing systems to solve human problems. One of the major subsets of this field is Machine Learning (ML) which provides recommendations or decisions by continuously learning human-generated data. Being a software engineer, I have utilized these tools and algorithms for building some complex projects, but the biggest advantage these algorithms provide is the replacement of numerous tedious computing steps with microseconds-based predictive computation and results...
Marketing Plan for Motherese Mobile ApplicationSadhika Pant
A marketing plan for an IoT healthcare mobile application, Motherese: Intelligent Infant Care. This presentation was created during a marketing internship under the supervision of Prof. Sameer Mathur, IIM Lucknow.
R-Style Lab: Smart Solutions for Healthcare ProvidersR-Style Lab
R-Style Lab is a cross-department software development team with an extensive knowledge of the IoT Healthcare domain. We provide assistance to healthcare organizations and Digital Health startups in creating comprehensive software infrastructures — embedded, web and mobile — for custom healthcare devices: connected insulin pumps, blood testing gadgets, heart rate monitors and medical imaging solutions. Furthermore, we maximize the value of smart healthcare devices by ensuring data interoperability between the components of an IT system, including EHR and hospital management software. Check out our Smart Solutions for Healthcare Providers portfolio to determine whether we could be your ultimate technology partner!
Best practices to assess and enhance brain function via mobile devices and ...SharpBrains
(Session held at the 2014 SharpBrains Virtual Summit; October 28-30th, 2014)
8:15–9:45am. Best practices to assess and enhance brain function via mobile devices and wearables
- Corinna E. Lathan, Founder and CEO of AnthroTronix
- Eddie Martucci, VP Research & Development at Akili Interactive Labs
- Alex Doman, Co-Founder of Sleep Genius
- Joan Severson, President of Digital Artefacts
- Chair: Keith Epstein, Senior Strategic Advisor at AARP
Learn more here:
http://sharpbrains.com/summit-2014/agenda/
AI in Healthcare: How to Implement Medical Imaging Using Machine Learning?Skyl.ai
About the webinar
According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.
The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time, and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care, and interconnected health conditions.
Through this webinar, you will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.
What you will learn:
- How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging
- Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months
- Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using skyl.ai
For the full video of this presentation, please visit:
https://www.embedded-vision.com/industry-analysis/video-interviews-demos/vision-opportunities-healthcare-presentation-woodside-capit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Rudy Burger, Managing Partner, and Vini Jolly, Executive Director, both of Woodside Capital Partners, deliver the presentation "Vision Opportunities in Healthcare" at the Embedded Vision Alliance's December 2019 Vision Industry and Technology Forum. Burger and Jolly outline trends and opportunities in computer vision for healthcare applications.
LeWeb is the #1 conference in Europe for digital innovation & internet-based technology.
Achilles Design sent 2 designers to this conference to stay in touch with the lasted trends in software
& internet, e-commerce, app development, wearable electronics, healthcare, sharing economy, etc.
SaMD or Software as a Medical Device can be described as a software constructed to be used in medical devices. These softwares can be run on different operating systems and virtual platforms.
1. The basic programming model of a SaMD is given below.
2. Different softwares are used for medical purposes, and they include the following:
To continue Reading : https://bit.ly/31ItRVc
Contact Us:
Website : https://bit.ly/2BvO06b
Email us: sales.cro@pepgra.com
Whatsapp: +91 9884350006
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Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Dr. David Greene Arizona
As we watch Dr. Greene's continued efforts and research in Arizona, it's clear that stem cell therapy holds a promising key to unlocking new doors in the treatment of kidney disease. With each study and trial, we step closer to a world where kidney disease is no longer a life sentence but a treatable condition, thanks to pioneers like Dr. David Greene.
CRISPR-Cas9, a revolutionary gene-editing tool, holds immense potential to reshape medicine, agriculture, and our understanding of life. But like any powerful tool, it comes with ethical considerations.
Unveiling CRISPR: This naturally occurring bacterial defense system (crRNA & Cas9 protein) fights viruses. Scientists repurposed it for precise gene editing (correction, deletion, insertion) by targeting specific DNA sequences.
The Promise: CRISPR offers exciting possibilities:
Gene Therapy: Correcting genetic diseases like cystic fibrosis.
Agriculture: Engineering crops resistant to pests and harsh environments.
Research: Studying gene function to unlock new knowledge.
The Peril: Ethical concerns demand attention:
Off-target Effects: Unintended DNA edits can have unforeseen consequences.
Eugenics: Misusing CRISPR for designer babies raises social and ethical questions.
Equity: High costs could limit access to this potentially life-saving technology.
The Path Forward: Responsible development is crucial:
International Collaboration: Clear guidelines are needed for research and human trials.
Public Education: Open discussions ensure informed decisions about CRISPR.
Prioritize Safety and Ethics: Safety and ethical principles must be paramount.
CRISPR offers a powerful tool for a better future, but responsible development and addressing ethical concerns are essential. By prioritizing safety, fostering open dialogue, and ensuring equitable access, we can harness CRISPR's power for the benefit of all. (2998 characters)
One of the most developed cities of India, the city of Chennai is the capital of Tamilnadu and many people from different parts of India come here to earn their bread and butter. Being a metropolitan, the city is filled with towering building and beaches but the sad part as with almost every Indian city
Global launch of the Healthy Ageing and Prevention Index 2nd wave – alongside...ILC- UK
The Healthy Ageing and Prevention Index is an online tool created by ILC that ranks countries on six metrics including, life span, health span, work span, income, environmental performance, and happiness. The Index helps us understand how well countries have adapted to longevity and inform decision makers on what must be done to maximise the economic benefits that comes with living well for longer.
Alongside the 77th World Health Assembly in Geneva on 28 May 2024, we launched the second version of our Index, allowing us to track progress and give new insights into what needs to be done to keep populations healthier for longer.
The speakers included:
Professor Orazio Schillaci, Minister of Health, Italy
Dr Hans Groth, Chairman of the Board, World Demographic & Ageing Forum
Professor Ilona Kickbusch, Founder and Chair, Global Health Centre, Geneva Graduate Institute and co-chair, World Health Summit Council
Dr Natasha Azzopardi Muscat, Director, Country Health Policies and Systems Division, World Health Organisation EURO
Dr Marta Lomazzi, Executive Manager, World Federation of Public Health Associations
Dr Shyam Bishen, Head, Centre for Health and Healthcare and Member of the Executive Committee, World Economic Forum
Dr Karin Tegmark Wisell, Director General, Public Health Agency of Sweden
Antibiotic Stewardship by Anushri Srivastava.pptxAnushriSrivastav
Stewardship is the act of taking good care of something.
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
WHO launched the Global Antimicrobial Resistance and Use Surveillance System (GLASS) in 2015 to fill knowledge gaps and inform strategies at all levels.
ACCORDING TO apic.org,
Antimicrobial stewardship is a coordinated program that promotes the appropriate use of antimicrobials (including antibiotics), improves patient outcomes, reduces microbial resistance, and decreases the spread of infections caused by multidrug-resistant organisms.
ACCORDING TO pewtrusts.org,
Antibiotic stewardship refers to efforts in doctors’ offices, hospitals, long term care facilities, and other health care settings to ensure that antibiotics are used only when necessary and appropriate
According to WHO,
Antimicrobial stewardship is a systematic approach to educate and support health care professionals to follow evidence-based guidelines for prescribing and administering antimicrobials
In 1996, John McGowan and Dale Gerding first applied the term antimicrobial stewardship, where they suggested a causal association between antimicrobial agent use and resistance. They also focused on the urgency of large-scale controlled trials of antimicrobial-use regulation employing sophisticated epidemiologic methods, molecular typing, and precise resistance mechanism analysis.
Antimicrobial Stewardship(AMS) refers to the optimal selection, dosing, and duration of antimicrobial treatment resulting in the best clinical outcome with minimal side effects to the patients and minimal impact on subsequent resistance.
According to the 2019 report, in the US, more than 2.8 million antibiotic-resistant infections occur each year, and more than 35000 people die. In addition to this, it also mentioned that 223,900 cases of Clostridoides difficile occurred in 2017, of which 12800 people died. The report did not include viruses or parasites
VISION
Being proactive
Supporting optimal animal and human health
Exploring ways to reduce overall use of antimicrobials
Using the drugs that prevent and treat disease by killing microscopic organisms in a responsible way
GOAL
to prevent the generation and spread of antimicrobial resistance (AMR). Doing so will preserve the effectiveness of these drugs in animals and humans for years to come.
being to preserve human and animal health and the effectiveness of antimicrobial medications.
to implement a multidisciplinary approach in assembling a stewardship team to include an infectious disease physician, a clinical pharmacist with infectious diseases training, infection preventionist, and a close collaboration with the staff in the clinical microbiology laboratory
to prevent antimicrobial overuse, misuse and abuse.
to minimize the developme
We understand the unique challenges pickleball players face and are committed to helping you stay healthy and active. In this presentation, we’ll explore the three most common pickleball injuries and provide strategies for prevention and treatment.
Caption Guidance – FDA’s First Authorized AI-Based Cardiac Ultrasound Software
1. Caption Guidance – FDA’s First Authorized AI-based Cardiac
Ultrasound Software
By: Govind Yatnalkar
Happy American Heart Association month, everyone! While celebrating this month at
EMMA International, we bring you this blog on a medical software tool that utilizes Artificial
Intelligence (AI) for providing echocardiography. This is the story of Caption Guidance, the
world’s first and only FDA-granted AI-guided cardiac ultrasound software.
Built by the California-based Caption Health, the Caption Guidance tool employs AI
algorithms to provide its intended use. The major functionality of this tool is to guide healthcare
professionals in getting the best quality images or videos while performing ultrasound or
echocardiography. From a software perspective, the principal emphasis of the algorithm is to
provide a distinction between images or videos which are acceptable, and which do not have the
expected clarity.1
For users, the application provides directions while they are moving the probe on the
patient’s chest for cardiac imaging. The application instructs to shift the probe towards an
accurately computed direction if the currently generated image or video has noise or is not clear.
Also, the images and video frames with the right quality are auto-captured. But in the end, I
wondered, how is this image or video quality measured? That is where I found about DCNNs
and the ‘learning’. 1
For Caption Guidance, the AI Algorithm used for image or video frame selection is the
Deep Convolutional Neural Network (DCNN). DCNNs are the most powerful and preferred AI
algorithms when it comes to imaging applications. The learning begins by training this DCNN
with a massive data set of existing images and videos. When the user shifts the probe while
performing an ultrasound on the patients’ body, new images or videos are generated and these
are then compared with the learned data. Based on the minimal difference from image quality
comparison, current images and video frames are selected.2
This imaging software tool followed the FDA De Novo pathway, indicating the device fell
in the low-to-moderate risk category. Truly, as the selected images and videos assist healthcare
professionals to make significant decisions relating to patient care, the software’s reliability,
performance, and most important, safety must be thoroughly tested.
1 FDA (February 2020). FDA Authorizes Marketing ofFirst Cardiac Ultrasound Software That Uses Artificial Intelligence to Guide
User. Retrieved on February 9th, 2021 from https://www.fda.gov/news-events/press-announcements/fda-authorizes-marketing-
first-cardiac-ultrasound-software-uses-artificial-intelligence-guide-user.
2
Schneider,M., Bartko, P., Geller, W. et al. A machine learningalgorithmsupportsultrasound-naïve novicesin the acquisition of
diagnostic echocardiographyloopsand provides accurate estimation of LVEF. Int J Cardiovasc Imaging (2020).
2. Software validation entails testing the software design and application thoroughly for
ensuring the software reaches the safety, quality, and efficiency levels expected by the FDA.
These include activities such as documenting the software requirements, architecture,
performing risk-assessment, and in-depth code testing with inspections. Specifically, with AI-
based medical devices, the requirements, training datasets, and AI models may change
frequently. To regulate such a software that has a dynamicdesign pattern, the FDA recently
released a detailed action plan that specifies what steps they will be implementing for
specifically regulating AI-based medical devices. The action plan includes activities such as
gathering data for real-time AI performance monitoring and building the best consensus
standards for improving AI models, but the major takeaway is that this year, they will be
providing a specific guidance document that will focus on regulating AI/ML-based software as a
medical device.3
As discussed, one of the most advanced echocardiography software tools in the
healthcare industry is the Caption Guidance. It uses AI to guide novice healthcare professionals
to get quality images and videos while performing cardiacimaging or ultrasound. But
manufacturers or AI-engineers should ensure that their tool is completely validated and tested
before it is hosted in the market. This is where we can help. Do you have anAI/ML-based
software tool that needs to be validated or FDA-compliant? Our quality and software experts can
get your software tool completely validated and guide you through the FDA regulatory process to
ensure your AI/ML-based medical device is FDA compliant. Contact us at 248-987-4497 or
email us at info@emmainternational.com for more information.
3 FDA (January 2021). FDA Releases Artificial Intelligence/Machine Learning Action Plan. Retrieved on February 9th, 2021 from
https://www.fda.gov/news-events/press-announcements/fda-releases-artificial-intelligencemachine-learning-action-plan.