Concise summaries of everything published in the latest weekly issue of the New England Journal of Medicine (NEJM). NEJM publishes new medical research findings, review articles, and editorial opinion on topics of importance to biomedical science and clinical practice.
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NEJM Interview: Andrew Lea on how experience with a 1970s computerized diagnostic program can inform efforts to implement machine-learning prediction models in medicine.
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Manage episode 397446761 series 67017
Content provided by NEJM Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by NEJM Group 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.
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.
…
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805 episodes
MP3•Episode home
Manage episode 397446761 series 67017
Content provided by NEJM Group. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by NEJM Group 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.
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.
…
continue reading
805 episodes
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