NEJM Interview: Andrew Lea on how experience with a 1970s computerized diagnostic program can inform efforts to implement machine-learning prediction models in medicine. - podcast episode cover

NEJM Interview: Andrew Lea on how experience with a 1970s computerized diagnostic program can inform efforts to implement machine-learning prediction models in medicine.

Jan 24, 20249 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Andrew Lea is a resident physician in internal medicine at Brigham and Women’s Hospital and a clinical fellow at Harvard Medical School. Stephen Morrissey, the interviewer, is the Executive Managing Editor of the Journal. A.S. Lea and D.S. Jones. Mind the Gap — Machine Learning, Dataset Shift, and History in the Age of Clinical Algorithms. N Engl J Med 2024;390:293-295.
For the best experience, listen in Metacast app for iOS or Android