Where Medical Statistics Meets Artificial Intelligence

Hunter, David J. M.B., B.S.
Holmes, Christopher Ph.D.

From the Nuffield Department of Population Health (D.J.H.) and the Department of Statistics and Nuffield Department of Medicine (C.H.), University of Oxford, Oxford, and the Alan Turing Institute, London (C.H.) — both in the United Kingdom.

Dr. Holmes can be contacted at [email protected] or at the Department of Statistics, University of Oxford, 24-29 St. Giles', Oxford OX1 3LB, United Kingdom.

Disclosure forms provided by the authors are available with the full text of this article at NEJM.org.

New England Journal of Medicine 389(13):p 1211-1219, September 28, 2023. | DOI: 10.1056/NEJMra2212850

Where Medical Statistics Meets AI

Challenges at the interface of medical statistics and AI are population inference vs. prediction, generalizability, reproducibility and interpretation of evidence, and stability and statistical guarantees.