Keynote lecture delivered on at the NIPS workshop on health applications https://ml4health.github.io/2017/ in which I describe which AI applications really will make a health impact which may not be the same as those that deliver high ROI in the near term.
Jintronix : projet TI novateurs en prévention du vieillissement / Monsieur David Schacter - Chief Operating Officer, Jintronix - présentation 10 octobre dans le cadre de la grande conférence métropoline le FUTUR DE LA SANTÉ : innovez pour une population connectée.
Physical Therapy in the Emergency Departmentchristaloyd
At the Heart of the Rockies Regional Medical Center in Salida, CO, I got the opportunity to take the lead on doing research and analyzing data to create a presentation describing the benefits of Physical Therapy in an emergency department.
Jintronix : projet TI novateurs en prévention du vieillissement / Monsieur David Schacter - Chief Operating Officer, Jintronix - présentation 10 octobre dans le cadre de la grande conférence métropoline le FUTUR DE LA SANTÉ : innovez pour une population connectée.
Physical Therapy in the Emergency Departmentchristaloyd
At the Heart of the Rockies Regional Medical Center in Salida, CO, I got the opportunity to take the lead on doing research and analyzing data to create a presentation describing the benefits of Physical Therapy in an emergency department.
A study on “impact of artificial intelligence in covid19 diagnosis”Dr. C.V. Suresh Babu
A study on “Impact of Artificial Intelligence in COVID-19 Diagnosis”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
Health Datapalooza IV: June 3rd-4th, 2013
The State of the Art: Enterprise Data Use at the Point of Care
Moderator:
Janet Marchibroda, Director, Health Innovation Initiative, Bipartisan Policy Center
The new delivery models have made it clear- they need health information technology (IT) and data in order to succeed in providing high value health care. Many decision-makers and clinical staff are overwhelmed by or are looking for the evidence to support using the increasing amount and divergent types of data that can be leveraged at the enterprise level and point of care. Patient-generated data, open data streams, cost and quality information – how will it fit into the clinical workflow, and does it make a difference in operations and clinical outcomes? Join us for demos and a discussion of the state of the art.
Panel A (3:30-4:15pm): Enterprise-Level Data Analytics
Speakers:
Jack Challis, Chief Executive Officer & Co-Founder, CliniCast
Allen Kamer, Vice President Corporate Development and Marketing, Humedica
Jonathan Porter, Vice President Product Strategy, athenahealth
Eric Page, Chief Executive Officer, Amplify Health
Graham Gardner, Chief Executive Officer, Kyru.us
Panel B (4:15-5:00 pm): Data at the Point of Care
Speakers:
Jason Bhan, Executive Vice President & Co-founder, Medivo
Madhu Nutakki, Vice President of Digital Presence Technologies, Kaiser Permanente
Noah Craft, Chief Medical Officer, VisualDx
Michael Long, Chief Executive Officer, Lumeris
Omri Gottesman, CLIPMERGE, Mount Sinai School of Medicine
These sessions are eligible for continuing education credit.
From Bits to Bedside: Translating Big Data into Precision Medicine and Digita...Dexter Hadley
Lecture Objectives:
1) To use examples from my research to define and introduce the ideals of precision medicine and digital health. 2) To introduce how large scale population-wide analysis of data can be used to facilitate these two ideals. 3) To introduce how freely available open data can be used to facilitate these two ideals. 4) To show how mobile technology can be used to facilitate these two ideals.
A study on “impact of artificial intelligence in covid19 diagnosis”Dr. C.V. Suresh Babu
Although the lungs are one of the most vital organs in the body, they are vulnerable to infection and injury. COVID-19 has put the entire world in an unprecedented difficult situation, bringing life to a halt and claiming thousands of lives all across the world. Medical imaging, such as X-rays and computed tomography (CT), is essential in the global fight against COVID-19, and newly emerging artificial intelligence (AI) technologies are boosting the power of imaging tools and assisting medical specialists. AI can improve job efficiency by precisely identifying infections in X-ray and CT images and allowing further measurement. We focus on the integration of AI with X-ray and CT, both of which are routinely used in frontline hospitals, to reflect the most recent progress in medical imaging and radiology combating COVID-19.
Considering the fast-developing technologies of the past 50 years, is it possible that a computer replaces human beings to heal humanity in the future?
A noninvasive technology to estimate core body temperature Senay Tewolde
I am excited to share one of my research works on the topics of noninvasive technology. The aim of the project was to develop an algorithm that can help estimate the core body temperature at the back of the eye based on temperature information of the ocular surface. The ultimate goal of study was to develop a noninvasive and non-contact core body temperature measurement technology. The algorithm was developed using inverse heat transfer analysis and non-gradient optimization method.
What if medicine understood itself as an information processing disciplineIsaac Kohane
What are the obstacles to progress because medicine does not understand itself as a knowledge processing discipline? What are dangers of a medicine-naive data science? What are the leveraged paths forward?
A study on “impact of artificial intelligence in covid19 diagnosis”Dr. C.V. Suresh Babu
A study on “Impact of Artificial Intelligence in COVID-19 Diagnosis”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
Health Datapalooza IV: June 3rd-4th, 2013
The State of the Art: Enterprise Data Use at the Point of Care
Moderator:
Janet Marchibroda, Director, Health Innovation Initiative, Bipartisan Policy Center
The new delivery models have made it clear- they need health information technology (IT) and data in order to succeed in providing high value health care. Many decision-makers and clinical staff are overwhelmed by or are looking for the evidence to support using the increasing amount and divergent types of data that can be leveraged at the enterprise level and point of care. Patient-generated data, open data streams, cost and quality information – how will it fit into the clinical workflow, and does it make a difference in operations and clinical outcomes? Join us for demos and a discussion of the state of the art.
Panel A (3:30-4:15pm): Enterprise-Level Data Analytics
Speakers:
Jack Challis, Chief Executive Officer & Co-Founder, CliniCast
Allen Kamer, Vice President Corporate Development and Marketing, Humedica
Jonathan Porter, Vice President Product Strategy, athenahealth
Eric Page, Chief Executive Officer, Amplify Health
Graham Gardner, Chief Executive Officer, Kyru.us
Panel B (4:15-5:00 pm): Data at the Point of Care
Speakers:
Jason Bhan, Executive Vice President & Co-founder, Medivo
Madhu Nutakki, Vice President of Digital Presence Technologies, Kaiser Permanente
Noah Craft, Chief Medical Officer, VisualDx
Michael Long, Chief Executive Officer, Lumeris
Omri Gottesman, CLIPMERGE, Mount Sinai School of Medicine
These sessions are eligible for continuing education credit.
From Bits to Bedside: Translating Big Data into Precision Medicine and Digita...Dexter Hadley
Lecture Objectives:
1) To use examples from my research to define and introduce the ideals of precision medicine and digital health. 2) To introduce how large scale population-wide analysis of data can be used to facilitate these two ideals. 3) To introduce how freely available open data can be used to facilitate these two ideals. 4) To show how mobile technology can be used to facilitate these two ideals.
A study on “impact of artificial intelligence in covid19 diagnosis”Dr. C.V. Suresh Babu
Although the lungs are one of the most vital organs in the body, they are vulnerable to infection and injury. COVID-19 has put the entire world in an unprecedented difficult situation, bringing life to a halt and claiming thousands of lives all across the world. Medical imaging, such as X-rays and computed tomography (CT), is essential in the global fight against COVID-19, and newly emerging artificial intelligence (AI) technologies are boosting the power of imaging tools and assisting medical specialists. AI can improve job efficiency by precisely identifying infections in X-ray and CT images and allowing further measurement. We focus on the integration of AI with X-ray and CT, both of which are routinely used in frontline hospitals, to reflect the most recent progress in medical imaging and radiology combating COVID-19.
Considering the fast-developing technologies of the past 50 years, is it possible that a computer replaces human beings to heal humanity in the future?
A noninvasive technology to estimate core body temperature Senay Tewolde
I am excited to share one of my research works on the topics of noninvasive technology. The aim of the project was to develop an algorithm that can help estimate the core body temperature at the back of the eye based on temperature information of the ocular surface. The ultimate goal of study was to develop a noninvasive and non-contact core body temperature measurement technology. The algorithm was developed using inverse heat transfer analysis and non-gradient optimization method.
What if medicine understood itself as an information processing disciplineIsaac Kohane
What are the obstacles to progress because medicine does not understand itself as a knowledge processing discipline? What are dangers of a medicine-naive data science? What are the leveraged paths forward?
How to Think Straight- Cognitive Debiasing Pat CroskerrySMACC Conference
"How to think straight: Cognitive de-biasing by Pat Croskerry
The number of preventable deaths of hospitalized patients in the US each year is estimated at 40,000- 80,000. The figure for the ICU alone is estimated at 40,000 so the death rate must be in the higher end of the range. When settings outside the hospital are taken into account (ED, primary care), the overall number must be considerably higher.
While many factors contribute to diagnostic failure, a variety of sources suggest that physician’s thinking has a lot to do with it. Dual Process Theory describes how the brain makes decisions in one of two modes: through fast, unconscious, intuitive processes (System 1) or through slower, conscious, analytical processes (System 2). Mental short-cuts (heuristics) and biases are predominantly located in the intuitive mode where we spend most of our conscious time, and this is where the majority of decision failures occur. Thinking straight essentially means achieving a good balance between System 1 and System 2 decision making, and much of our cognitive effort needs to go into monitoring what our unconscious brains are doing in System 1. This is referred to by a variety of terms: metacognition, reflection, mindfulness, and others. They all involve cognitive de-coupling from System 1 and characterize the process of cognitive de-biasing. This is not easily accomplished in the ED or any environment where decision density is often high, throughput pressure exists, resources may be limited, and where decision makers may be fatigued and/or sleep deprived.
While medicine has acquired a variety of strategies over the years for de-biasing clinicians, added benefits can be obtained by developing specific mindware to tackle particular biases. Clinicians need to be aware of the operating characteristics of the dual process model of decision making, of the prevalence and nature of biases, and of how to apply and sustain de-biasing mindware in their decision making.
"
MedicalResearch.com: Medical Research Interviews Month in ReviewMarie Benz MD FAAD
MedicalResearch.com powerpoint of exclusive interviews with medical researchers from NEJM, JAMA, BMJ, The Lancet and other major and specialty medical journals.
NVBDCP.pptx Nation vector borne disease control programSapna Thakur
NVBDCP was launched in 2003-2004 . Vector-Borne Disease: Disease that results from an infection transmitted to humans and other animals by blood-feeding arthropods, such as mosquitoes, ticks, and fleas. Examples of vector-borne diseases include Dengue fever, West Nile Virus, Lyme disease, and malaria.
Report Back from SGO 2024: What’s the Latest in Cervical Cancer?bkling
Are you curious about what’s new in cervical cancer research or unsure what the findings mean? Join Dr. Emily Ko, a gynecologic oncologist at Penn Medicine, to learn about the latest updates from the Society of Gynecologic Oncology (SGO) 2024 Annual Meeting on Women’s Cancer. Dr. Ko will discuss what the research presented at the conference means for you and answer your questions about the new developments.
Couples presenting to the infertility clinic- Do they really have infertility...Sujoy Dasgupta
Dr Sujoy Dasgupta presented the study on "Couples presenting to the infertility clinic- Do they really have infertility? – The unexplored stories of non-consummation" in the 13th Congress of the Asia Pacific Initiative on Reproduction (ASPIRE 2024) at Manila on 24 May, 2024.
263778731218 Abortion Clinic /Pills In Harare ,sisternakatoto
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Flu Vaccine Alert in Bangalore Karnatakaaddon Scans
As flu season approaches, health officials in Bangalore, Karnataka, are urging residents to get their flu vaccinations. The seasonal flu, while common, can lead to severe health complications, particularly for vulnerable populations such as young children, the elderly, and those with underlying health conditions.
Dr. Vidisha Kumari, a leading epidemiologist in Bangalore, emphasizes the importance of getting vaccinated. "The flu vaccine is our best defense against the influenza virus. It not only protects individuals but also helps prevent the spread of the virus in our communities," he says.
This year, the flu season is expected to coincide with a potential increase in other respiratory illnesses. The Karnataka Health Department has launched an awareness campaign highlighting the significance of flu vaccinations. They have set up multiple vaccination centers across Bangalore, making it convenient for residents to receive their shots.
To encourage widespread vaccination, the government is also collaborating with local schools, workplaces, and community centers to facilitate vaccination drives. Special attention is being given to ensuring that the vaccine is accessible to all, including marginalized communities who may have limited access to healthcare.
Residents are reminded that the flu vaccine is safe and effective. Common side effects are mild and may include soreness at the injection site, mild fever, or muscle aches. These side effects are generally short-lived and far less severe than the flu itself.
Healthcare providers are also stressing the importance of continuing COVID-19 precautions. Wearing masks, practicing good hand hygiene, and maintaining social distancing are still crucial, especially in crowded places.
Protect yourself and your loved ones by getting vaccinated. Together, we can help keep Bangalore healthy and safe this flu season. For more information on vaccination centers and schedules, residents can visit the Karnataka Health Department’s official website or follow their social media pages.
Stay informed, stay safe, and get your flu shot today!
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New Drug Discovery and Development .....NEHA GUPTA
The "New Drug Discovery and Development" process involves the identification, design, testing, and manufacturing of novel pharmaceutical compounds with the aim of introducing new and improved treatments for various medical conditions. This comprehensive endeavor encompasses various stages, including target identification, preclinical studies, clinical trials, regulatory approval, and post-market surveillance. It involves multidisciplinary collaboration among scientists, researchers, clinicians, regulatory experts, and pharmaceutical companies to bring innovative therapies to market and address unmet medical needs.
Prix Galien International 2024 Forum ProgramLevi Shapiro
June 20, 2024, Prix Galien International and Jerusalem Ethics Forum in ROME. Detailed agenda including panels:
- ADVANCES IN CARDIOLOGY: A NEW PARADIGM IS COMING
- WOMEN’S HEALTH: FERTILITY PRESERVATION
- WHAT’S NEW IN THE TREATMENT OF INFECTIOUS,
ONCOLOGICAL AND INFLAMMATORY SKIN DISEASES?
- ARTIFICIAL INTELLIGENCE AND ETHICS
- GENE THERAPY
- BEYOND BORDERS: GLOBAL INITIATIVES FOR DEMOCRATIZING LIFE SCIENCE TECHNOLOGIES AND PROMOTING ACCESS TO HEALTHCARE
- ETHICAL CHALLENGES IN LIFE SCIENCES
- Prix Galien International Awards Ceremony
Knee anatomy and clinical tests 2024.pdfvimalpl1234
This includes all relevant anatomy and clinical tests compiled from standard textbooks, Campbell,netter etc..It is comprehensive and best suited for orthopaedicians and orthopaedic residents.
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Ve...kevinkariuki227
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
TEST BANK for Operations Management, 14th Edition by William J. Stevenson, Verified Chapters 1 - 19, Complete Newest Version.pdf
ARTIFICIAL INTELLIGENCE IN HEALTHCARE.pdfAnujkumaranit
Artificial intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems. It encompasses tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI technologies are revolutionizing various fields, from healthcare to finance, by enabling machines to perform tasks that typically require human intelligence.
The prostate is an exocrine gland of the male mammalian reproductive system
It is a walnut-sized gland that forms part of the male reproductive system and is located in front of the rectum and just below the urinary bladder
Function is to store and secrete a clear, slightly alkaline fluid that constitutes 10-30% of the volume of the seminal fluid that along with the spermatozoa, constitutes semen
A healthy human prostate measures (4cm-vertical, by 3cm-horizontal, 2cm ant-post ).
It surrounds the urethra just below the urinary bladder. It has anterior, median, posterior and two lateral lobes
It’s work is regulated by androgens which are responsible for male sex characteristics
Generalised disease of the prostate due to hormonal derangement which leads to non malignant enlargement of the gland (increase in the number of epithelial cells and stromal tissue)to cause compression of the urethra leading to symptoms (LUTS
5. DEPARTMENT OF
Biomedical Informatics
A common diagnosis becomes undiagnosed
• 3 years and 10 months old with bloody stool.
• Underwent endoscopy in November 2005 at 4 years old which showed a pancolitis.
• He was started on sulfasalazine; maintained on fish oil and sulfasalazine until age 13 ½ at which
point he flared. That was in July 2015.
• He’s been in a flare since. Unsuccessful wean from prednisone, vancomycin effect transient
• Started on 6MP in March 2016 with no effect over 3 months despite therapeutic levels.
• Started on infliximab 5mg/kg 7/6/2016 with no effect.
• Aug 20th tried a course of Rifaximin with initial, temporally related, transient improvement.
• Has tried multiple forms of PR meds with no effect, including cortisone enemas, cortifoam,
canasa suppos. .
• In September 2016, stool turned bloody and frequency was hourly, hospitalized for tacrolimus
• which improved symptoms but did not produce a remission.
• Vedolizumab was added in October with no appreciable effect.
6. DEPARTMENT OF
Biomedical Informatics
Boundary between diseased and
healthy patients
Can we identify an existing drug that
will move these patients towards the
healthy region?
IBD Expression Profiles:
Whole Blood
8. DEPARTMENT OF
Biomedical Informatics
Best ranked compound for our patient
• Indirubin
• Chemical compound
most often produced
as a byproduct of
bacterial metabolism
• Constituent of indigo
naturalis (also known
as qing dai),
12. DEPARTMENT OF
Biomedical Informatics
When does Medicine succumb to AlphaZero?
• Deterministic.
• Fully observed.
• The action space is discrete.
• Access to a perfect simulator (the
game itself), so the effects of any
action are known exactly.
• Each episode/game is relatively short.
• Evaluation is clear, fast and allows a
lot of trial-and-error experience.
• Huge datasets of human play.
• NOT physiology
• NOT disease course
• NOT drug response
• NOT surgery
• So…. What might succumb…? Which
medical ‘game’ fits the criteria….?
• The game of reimbursement
• Has funded billions of $$ of EHR
• Of ontology wrangling companies etc
13. DEPARTMENT OF
Biomedical Informatics
Bias and fairness: AI applications in medicine
• GAN to maximize
reimbursement
• GAN to
minimize/maximize care
utilization
• Opaque biases in drug or
procedure
recommendations.
•At-will review/exploration
of doctor’s
decisions/advice
•Maximize patient’s utilities
in clinical decision-making
over all achievable
treatment plans
•Netflix for medicine
14. DEPARTMENT OF
Biomedical Informatics
AI -> $$$ <- Platform/Path/Payors
Electronic
Health
Record
Data
(labs, meds, images…)
Summary & Decisions
(Rx, Dx, Prognosis…)
$
Consumers
$Employers
$Government
`
16. DEPARTMENT OF
Biomedical Informatics
But at least we have a solid medical education
system…
16
If a test to detect a disease whose
prevalence is 1/1000 has a false positive
rate of 5%, what is the chance that a
person found to have a positive result
actually has the disease, assuming you
know nothing about the person's
symptoms or signs?
19. DEPARTMENT OF
Biomedical Informatics
• Who completes the loop?
• Who is trusted?
• Who integrates with rest of care?
• Who oversees
• Process automation?
• Who does expert catch?
• What do you have to show to get
$$$
21. DEPARTMENT OF
Biomedical Informatics
Reflections/Conclusion
• How would you like to spend your AI effort chits?
• Doing what doctors are supposed to do at expert level?
• Or by what they cannot do (MD super powers)?
• Most of the interesting part of medicine is not in classification or prediction
• It’s in making the right DECISION for precious human beings faced with suffering/death
• Unless you roll a new one, you have to understand THIS healthcare system
processes NOT just medicine art/science.
• Understanding the “job-to-be-done” and where the $$ coming from as important
as CS/AI +medical expertise.
• Doctors are not necessarily expert in this prioritization.
• Don’t lie, it makes us all look bad.
• YOU can roll a new health care system that is data and knowledge-driven.
22. DEPARTMENT OF
Biomedical Informatics
DATAPOWERED STRATEGIESTO
COUNTERANTIBIOTICRESISTANCE
Harvard Medical School
June 8th 2018
Join us for discussions on ‘omics’, health-services, and
internet data integration for innovation in diagnosis and
treatmentThank you
"On Oxford Steet in Cambridge, Mass. lives a sibyl, a priestess of science. Her devotees take their problems to her as devout ancient Greeks took their insolubles to Delphi. She is no mumbling, anonymous priestess, frothing her mouth with riddles. Her name is Bessie; she is a long, slim, glass-sided machine with 760.000 parts, and the riddles that are put to her and that she unfailingly answers concern such matters as rocket motors, nuclear physics and trigonometric functions". For a computing machine, Bessie is old: she has been steadily at work since 1944. And she is not the brightest of her breed. Compared to her children and grandchildren (one of whom, Harvard's Mark III lives on the floor below in Harvard's Computation Laboratory), she is dim-witted and slow. But Bessie is a progenetrix, a sort of mechanical Eve. By proving what computing machines could do, she started one of the liveliest developments of modern science. Some scientists think that Bessie's descendants will have more effect on Makind than atomic energy. Modern man has become accustomed to machines with superhuman muscles, but machines with superhuman brains are still a little frightening. The men who design them try to deny that they are creating their own intellectual competitors." ‒Time Magazine, January 23, 1950, p54.
Important, What can it avoid? Lots of stupidity. Missed diagnoses..
4
umor necrosis factor-α (TNFα) antagonists are effective for the treatment of inflammatory bowel diseases, demonstrating improvement in patients' quality of life, and reductions in surgeries and hospitalizations.1 However, around 10–30% of patients do not respond to the initial treatment and 23–46% of patients lose response over time. Determining whether the reason for failure is a primary or secondary non-response is paramount to successfully treat these patients. A significant proportion of patients do not respond (primary non-response—PNR) to TNFα antagonists. Distinct mechanisms underlie these two forms of TNFα antagonist treatment fail
Not noise
Not confounding
Signal
Different in China than US
Which game in medicine is a fully human artefact with interesting yet somewhat arbitrary rules?
Opaque biases a lot worse than the google image search problems
Instances on left much more $$$ in nesr term.
Where is the money?
3.3 trillion or $10,348 per person
17.9% of GDP
37% Fed
34% Private
11% Out of pocket
Hospital Care 32%
MD/clinical services 20% ($664.9B in 2016)
Prescrption drugs 10% $328B
Home healthcare 3% $93B
Who will be the beneficiary?
https://nccih.nih.gov/research/results/spotlight/americans-spend-billions $30B/year on alternative health