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AI and Machine Learning in Healthcare for the Clueless: No Coding Required

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Manage episode 360342138 series 3082824
Content provided by Medscape Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medscape Podcasts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Robert Harrington, MD and Jenine John, a cardiologist and machine learning research fellow discuss what you need to know about AI and ML in healthcare and where to find some helpful resources.

This podcast is intended for healthcare professionals only.

To read a transcript or to comment, visit: https://www.medscape.com/author/bob-harrington

'One Brave Idea' Recipient on Predicting Who Will Develop CAD

https://www.medscape.com/viewarticle/874536

Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

https://doi.org/10.1161/circulationaha.121.058696

Application of Artificial Intelligence to the Electrocardiogram

https://doi.org/10.1093/eurheartj/ehab649

Using Machine Learning to Detect Problems in ECG Data Collection

https://www.cinc.org/archives/2011/pdf/0437.pdf

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs

https://doi.org/10.1161/CIRCEP.119.007284

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients

http://jamanetwork.com/article.aspx?doi=10.1001/jamainternmed.2021.2626

Sepsis Predictor Tool Falls Short in

Emergency Setting

https://www.medscape.com/viewarticle/982534

Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations

https://doi.org/10.1126/science.aax2342

Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms https://jamanetwork.com/journals/jama/fullarticle/2770833

Can Medical Algorithms Be Fair? Three Ethical Quandaries and One Dilemma

https://doi.org/10.1136/bmjhci-2021-100445

Healthcare Machine Learning: Getting Started

https://medium.com/@jeninej/healthcare-machine-learning-getting-started-761a7dbb63a2

What Clinicians Should Know About Healthcare AI, Part 1: Why Care About AI?

https://medium.com/@jeninej/what-clinicians-should-know-about-healthcare-ai-part-1-why-care-about-ai-aba6a06f696d

AI in Healthcare Specialization

https://www.coursera.org/specializations/ai-healthcare

You may also like:

Medscape editor-in-chief Eric Topol, MD, and master storyteller and clinician Abraham Verghese, MD, on Medicine and the Machine: https://www.medscape.com/features/public/machine

Hear John Mandrola, MD's, summary and perspective on the top cardiology news each week, on This Week in Cardiology: https://www.medscape.com/twic

Questions or feedback, please contact: news@medscape.net

  continue reading

61 episodes

Artwork
iconShare
 
Manage episode 360342138 series 3082824
Content provided by Medscape Podcasts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Medscape Podcasts or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Robert Harrington, MD and Jenine John, a cardiologist and machine learning research fellow discuss what you need to know about AI and ML in healthcare and where to find some helpful resources.

This podcast is intended for healthcare professionals only.

To read a transcript or to comment, visit: https://www.medscape.com/author/bob-harrington

'One Brave Idea' Recipient on Predicting Who Will Develop CAD

https://www.medscape.com/viewarticle/874536

Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection

https://doi.org/10.1161/circulationaha.121.058696

Application of Artificial Intelligence to the Electrocardiogram

https://doi.org/10.1093/eurheartj/ehab649

Using Machine Learning to Detect Problems in ECG Data Collection

https://www.cinc.org/archives/2011/pdf/0437.pdf

Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs

https://doi.org/10.1161/CIRCEP.119.007284

External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients

http://jamanetwork.com/article.aspx?doi=10.1001/jamainternmed.2021.2626

Sepsis Predictor Tool Falls Short in

Emergency Setting

https://www.medscape.com/viewarticle/982534

Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations

https://doi.org/10.1126/science.aax2342

Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms https://jamanetwork.com/journals/jama/fullarticle/2770833

Can Medical Algorithms Be Fair? Three Ethical Quandaries and One Dilemma

https://doi.org/10.1136/bmjhci-2021-100445

Healthcare Machine Learning: Getting Started

https://medium.com/@jeninej/healthcare-machine-learning-getting-started-761a7dbb63a2

What Clinicians Should Know About Healthcare AI, Part 1: Why Care About AI?

https://medium.com/@jeninej/what-clinicians-should-know-about-healthcare-ai-part-1-why-care-about-ai-aba6a06f696d

AI in Healthcare Specialization

https://www.coursera.org/specializations/ai-healthcare

You may also like:

Medscape editor-in-chief Eric Topol, MD, and master storyteller and clinician Abraham Verghese, MD, on Medicine and the Machine: https://www.medscape.com/features/public/machine

Hear John Mandrola, MD's, summary and perspective on the top cardiology news each week, on This Week in Cardiology: https://www.medscape.com/twic

Questions or feedback, please contact: news@medscape.net

  continue reading

61 episodes

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