Diagnostic decision support system for difficult to diagnose cases. Helps doctors not misdiagnose or mistake in diagnosis. Suggests tests for arriving at a diagnosis. Useful to doctors and medical students for training. Patients as second opinion.
Women and Heart Disease: New Concepts in Prevention and ManagementSummit Health
Coronary heart disease is the leading cause of
death for all women. Significant disparities
exist in the prevention, diagnosis, recognition,
management, and clinical outcomes of
cardiovascular disease in women.
CORONARY ARTERY DISEASE IN WOMEN by DR ABHISHEK RATHOREdrabhishekbabbu
CAD is the leading cause of death in women. Here is the current scenerio of CAD in women. In what matter CAD in women differs from man is presented hare.
Women and Heart Disease: New Concepts in Prevention and ManagementSummit Health
Coronary heart disease is the leading cause of
death for all women. Significant disparities
exist in the prevention, diagnosis, recognition,
management, and clinical outcomes of
cardiovascular disease in women.
CORONARY ARTERY DISEASE IN WOMEN by DR ABHISHEK RATHOREdrabhishekbabbu
CAD is the leading cause of death in women. Here is the current scenerio of CAD in women. In what matter CAD in women differs from man is presented hare.
Why should a health plan invest in integrated solutions when providers have more to gain? How to remove the risks of moving forward without an industry standard? Safe harbor investment? Is an all-payer/all-provider solution even possible today? How do I justify an investment in workflow automation and backend system integration? This is a webinar on extension of the successful conversation on claims attachments raised at WEDI National 2016. Three healthcare vendors came together to discuss how to overcome key challenges by leveraging current investments in a multi-vendor model.
Predicting Patient Outcomes in Real-Time at HCASri Ambati
Data Scientist Allison Baker and Development Manager of Data Products Cody Hall work with a talented team of data scientists, software engineers, and web developers, and are building the framework and infrastructure to support a real-time prediction application, with the ability to scale across the entire company. Paramount to these efforts has been the capability of integrating the architecture for software production with the predictive models generated by H2O. This talk will review the processes by which HCA is building a pipeline to predict patient outcomes in real-time, heavily relying on H2O’s POJO scoring API and implemented in Clojure data processing. #h2ony
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
New Ways for Predictive Analytics and Machine Learning to Advance Population ...Edifecs Inc
The team at University of Washington’s Center for Data Science and Edifecs have collaboratively built predictive tools that use machine-learning to identify patterns in morbidity progress and health status.
Learning Objectives
Hear how other industries are using the latest in predictive analytics and how this experience can be applied to healthcare
Discuss why healthcare needs machine learning and how it compares to traditional analytics
Explore the Data Tsunami and what the future holds for our industry
HealthCare Data Mining and Natural Language ProcessingNehal (Neil) Shah
ezDI is a clinical search engine based on Artificial Intelligence (AI) enveloped with Clinical Natural Language Processing (NLP). It is specially designed for mining clinical data, and running relevant queries. This technology enables high-end data analysis and analytics very quickly and accurately.
ezDI’s clinical natural language processing (NLP) engine turns text into facts and codes using patented technology.
Endless Possibilities – we unwrap your clinical data and find the metrics you seek!
Ted Alexander of Magellan Asset Management discusses the investment implications of 8 predictions in artificial intelligence, with a focus on healthcare.
Ted delivered his presentation at 'The Future of Financial Advice', the Booster Financial Adviser Conference 2016 in Wellington, New Zealand on 4 November 2016.
Will Yu of Lumiata provides an overview of using real-time big analytics with ever-learning graph combining hundreds of healthcare data sets. Presented at YTH Live 2014 plenary session "Mapping Big Data, Infographics and other Good Stuff."
The Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
Why should a health plan invest in integrated solutions when providers have more to gain? How to remove the risks of moving forward without an industry standard? Safe harbor investment? Is an all-payer/all-provider solution even possible today? How do I justify an investment in workflow automation and backend system integration? This is a webinar on extension of the successful conversation on claims attachments raised at WEDI National 2016. Three healthcare vendors came together to discuss how to overcome key challenges by leveraging current investments in a multi-vendor model.
Predicting Patient Outcomes in Real-Time at HCASri Ambati
Data Scientist Allison Baker and Development Manager of Data Products Cody Hall work with a talented team of data scientists, software engineers, and web developers, and are building the framework and infrastructure to support a real-time prediction application, with the ability to scale across the entire company. Paramount to these efforts has been the capability of integrating the architecture for software production with the predictive models generated by H2O. This talk will review the processes by which HCA is building a pipeline to predict patient outcomes in real-time, heavily relying on H2O’s POJO scoring API and implemented in Clojure data processing. #h2ony
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
New Ways for Predictive Analytics and Machine Learning to Advance Population ...Edifecs Inc
The team at University of Washington’s Center for Data Science and Edifecs have collaboratively built predictive tools that use machine-learning to identify patterns in morbidity progress and health status.
Learning Objectives
Hear how other industries are using the latest in predictive analytics and how this experience can be applied to healthcare
Discuss why healthcare needs machine learning and how it compares to traditional analytics
Explore the Data Tsunami and what the future holds for our industry
HealthCare Data Mining and Natural Language ProcessingNehal (Neil) Shah
ezDI is a clinical search engine based on Artificial Intelligence (AI) enveloped with Clinical Natural Language Processing (NLP). It is specially designed for mining clinical data, and running relevant queries. This technology enables high-end data analysis and analytics very quickly and accurately.
ezDI’s clinical natural language processing (NLP) engine turns text into facts and codes using patented technology.
Endless Possibilities – we unwrap your clinical data and find the metrics you seek!
Ted Alexander of Magellan Asset Management discusses the investment implications of 8 predictions in artificial intelligence, with a focus on healthcare.
Ted delivered his presentation at 'The Future of Financial Advice', the Booster Financial Adviser Conference 2016 in Wellington, New Zealand on 4 November 2016.
Will Yu of Lumiata provides an overview of using real-time big analytics with ever-learning graph combining hundreds of healthcare data sets. Presented at YTH Live 2014 plenary session "Mapping Big Data, Infographics and other Good Stuff."
The Hive Think Tank: Unpacking AI for Healthcare The Hive
In this The Hive Think Tank talk, Ash Damle, CEO of Lumiata takes a deep dive into Lumiata’s core technological engine - the Lumiata Medical Graph, which applies graph-based machine learning to compute the complex relationships between health data in the same way that a physician would, and how this medical AI engine powers personalization and automation within risk and care management.
This presentation features a compilation of national medical malpractice claim data from 2006 to 2015. It highlights the three most prevalent chief medical factors and patient outcomes by specialty.
The proportion of the elderly in America is greater today than ever before and is growing even larger. What’s more, the elderly tend to be our sickest and most challenging patients. What signs and symptoms may indicate common disease processes, the normal signs of aging or special needs of the geriatric patient? How do you deal with the special needs of the geriatric patient? With a focus on every aspect of caring for your patient, this presentation answers your questions so that you’ll love what you learn.
Find more at www.romduckworth.com
Understanding Congenital Heart Defects in Children | Aditi jagtap puneAditi Jagtap Pune
The birth of a child is one of life’s most priceless events for parents. Unfortunately, for some parents, the good news that their child has a congenital heart defect (CHD) may come along with this happy event. The majority of birth problems, affecting around 1 in 100 live births worldwide, are congenital heart defects. The world of congenital heart abnormalities, its causes, symptoms, and available treatments will all be covered in this blog. Join us as we explore these difficult issues in greater detail using the renowned Dr. Ranjit Jagtap Daughter.
This presentation contains in brief about various Non-communicable diseases (NCDs) and International interventions to combat NCDs. It also contains recent updates on current problem statement of common NCDs and updates on National Programme for Prevention and Control of non-Communicable Diseases (NP-NCDs).
Understanding Congenital Heart Defects in Children | Dr. Ranjit jagtapDr Ranjit Jagtap
The birth of a child is one of life’s most priceless events for parents. Unfortunately, for some parents, the good news that their child has a congenital heart defect (CHD) may come along with this happy event. The majority of birth problems, affecting around 1 in 100 live births worldwide, are congenital heart defects. The world of congenital heart abnormalities, its causes, symptoms, and available treatments will all be covered in this blog. Join us as we explore these difficult issues in greater detail using the renowned pediatric cardiologist Dr. Ranjit Jagtap.
Empowering ACOs: Leveraging Quality Management Tools for MIPS and BeyondHealth Catalyst
Join us as we delve into the crucial realm of quality reporting for MSSP (Medicare Shared Savings Program) Accountable Care Organizations (ACOs).
In this session, we will explore how a robust quality management solution can empower your organization to meet regulatory requirements and improve processes for MIPS reporting and internal quality programs. Learn how our MeasureAble application enables compliance and fosters continuous improvement.
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)
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cell
R3 Stem Cells and Kidney Repair: A New Horizon in Nephrology" explores groundbreaking advancements in the use of R3 stem cells for kidney disease treatment. This insightful piece delves into the potential of these cells to regenerate damaged kidney tissue, offering new hope for patients and reshaping the future of nephrology.
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...Kumar Satyam
According to TechSci Research report, "India Clinical Trials Market- By Region, Competition, Forecast & Opportunities, 2030F," the India Clinical Trials Market was valued at USD 2.05 billion in 2024 and is projected to grow at a compound annual growth rate (CAGR) of 8.64% through 2030. The market is driven by a variety of factors, making India an attractive destination for pharmaceutical companies and researchers. India's vast and diverse patient population, cost-effective operational environment, and a large pool of skilled medical professionals contribute significantly to the market's growth. Additionally, increasing government support in streamlining regulations and the growing prevalence of lifestyle diseases further propel the clinical trials market.
Growing Prevalence of Lifestyle Diseases
The rising incidence of lifestyle diseases such as diabetes, cardiovascular diseases, and cancer is a major trend driving the clinical trials market in India. These conditions necessitate the development and testing of new treatment methods, creating a robust demand for clinical trials. The increasing burden of these diseases highlights the need for innovative therapies and underscores the importance of India as a key player in global clinical research.
Medical Technology Tackles New Health Care Demand - Research Report - March 2...pchutichetpong
M Capital Group (“MCG”) predicts that with, against, despite, and even without the global pandemic, the medical technology (MedTech) industry shows signs of continuous healthy growth, driven by smaller, faster, and cheaper devices, growing demand for home-based applications, technological innovation, strategic acquisitions, investments, and SPAC listings. MCG predicts that this should reflects itself in annual growth of over 6%, well beyond 2028.
According to Chris Mouchabhani, Managing Partner at M Capital Group, “Despite all economic scenarios that one may consider, beyond overall economic shocks, medical technology should remain one of the most promising and robust sectors over the short to medium term and well beyond 2028.”
There is a movement towards home-based care for the elderly, next generation scanning and MRI devices, wearable technology, artificial intelligence incorporation, and online connectivity. Experts also see a focus on predictive, preventive, personalized, participatory, and precision medicine, with rising levels of integration of home care and technological innovation.
The average cost of treatment has been rising across the board, creating additional financial burdens to governments, healthcare providers and insurance companies. According to MCG, cost-per-inpatient-stay in the United States alone rose on average annually by over 13% between 2014 to 2021, leading MedTech to focus research efforts on optimized medical equipment at lower price points, whilst emphasizing portability and ease of use. Namely, 46% of the 1,008 medical technology companies in the 2021 MedTech Innovator (“MTI”) database are focusing on prevention, wellness, detection, or diagnosis, signaling a clear push for preventive care to also tackle costs.
In addition, there has also been a lasting impact on consumer and medical demand for home care, supported by the pandemic. Lockdowns, closure of care facilities, and healthcare systems subjected to capacity pressure, accelerated demand away from traditional inpatient care. Now, outpatient care solutions are driving industry production, with nearly 70% of recent diagnostics start-up companies producing products in areas such as ambulatory clinics, at-home care, and self-administered diagnostics.
2. We develop a Cortana or Siri for
Medicine
We help doctors solve complex clinical
problems while they attend their medical
practice.
3. Misdiagnosis or Missed Diagnosis
Clinical mistakes are common
and costly to the patient and
doctor.
Frequently they are due to lack
of information or cognition of a
disease presentation specially
in a busy practice.
Young doctors might make
mistakes due to inexperience.
5. Incidence
World Health Organization:
◦ 1 in 10 hospital admissions .. Adverse event
◦ 1 in 300 admissions… Death
◦ One of top ten killers
British National Health System:
◦ 15% of all diagnoses…misdiagnosis
Journal of American Medical Association 2000:
◦ 225 000 deaths annually:
◦ 106 000 medication errors
◦ 15% Misdiagnosis
6. Detection of Medical Errors
Measurement of Errors
Morbidity
Mortality
Autopsy
EMR, IT
Observation
Chart Review
7. Solution
Our AI system has Diagnostic Decision Support (DDS) which helps
doctors diagnose a case by suggesting tests.
Our AI system also has Natural Language Processing (NLP) which
provides crucial information to the doctor in time.
We provide established clinical guidelines to the doctors while
treating their patients in real time.
9. Future
Artificial Intelligence is top in 5 disruptive technologies in
Healthcare by 2020.
CAGR of 42% to reach $6.6 billion in 2021 – FORBES
India overtakes US in smart phone users by 2016
Web application, web app and web API of AI-MED help in reaching
customers easily.
10. Patent
We are given
Indian copyright
for the software
by the
government.
Copyright is
owned by our
founder.
We own full rights
for sale of the
software.
11. What have we done so far
We completed
development of our
product
Web API
Rest Client
Mobile Platforms
Clinical Text
Analysis and
Knowledge
Extraction
Word2vec medical
text