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: [ Ссылка ]
'One Brave Idea' Recipient on Predicting Who Will Develop CAD
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Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection
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Application of Artificial Intelligence to the Electrocardiogram
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Using Machine Learning to Detect Problems in ECG Data Collection
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Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs
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External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients
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Sepsis Predictor Tool Falls Short in
Emergency Setting
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Dissecting Racial Bias in an Algorithm Used to Manage the Health of Populations
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Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms [ Ссылка ]
Can Medical Algorithms Be Fair? Three Ethical Quandaries and One Dilemma
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Healthcare Machine Learning: Getting Started
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What Clinicians Should Know About Healthcare AI, Part 1: Why Care About AI?
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AI in Healthcare Specialization
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You may also like:
Medscape editor-in-chief Eric Topol, MD, and master storyteller and clinician Abraham Verghese, MD, on Medicine and the Machine: [ Ссылка ]
Hear John Mandrola, MD's, summary and perspective on the top cardiology news each week, on This Week in Cardiology: [ Ссылка ]
Questions or feedback, please contact: news@medscape.net
