Insightful conversations with leading experts in the field of health care, medical research, policy, and more from the New England Journal of Medicine (NEJM). Each episode examines the many complexities found at the junction of medicine and society.
http://www.nejm.org/multimedia/audio-interview
NEJM Interview: Andrew Lea on how experience with a 1970s computerized diagnostic program can inform efforts to implement machine-learning prediction models in medicine.
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.