Everand Logo

Welcome to Everand!

  • Discover this podcast and so much more

    Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

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

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

    FromNEJM Interviews

    Start listeningView podcast show

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

    FromNEJM Interviews

    ratings:
    Length:
    9 minutes
    Released:
    Jan 24, 2024
    Format:
    Podcast 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.
    Released:
    Jan 24, 2024
    Format:
    Podcast episode

    Titles in the series (100)

    The New England Journal of Medicine (NEJM) Audio interview RSS feed. NEJM (http://www.nejm.org) is a weekly general medical journal that publishes new medical research findings, review articles, and editorial opinion on a wide variety of topics of importance to biomedical science and clinical practice.