AI Collection

Journal article : Review

Where medical statistics meets artificial intelligence

Abstract:: 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.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Hunter, D. J., & Holmes, C. (2023). Where medical statistics meets artificial intelligence. New England Journal of Medicine, 389(13), 1211–1219.

MLA Style

Hunter, DJ, and C Holmes. “Where Medical Statistics Meets Artificial Intelligence.” New England Journal of Medicine, vol. 389, no. 13, 2023, pp. 1211–19.

Chicago Style

Hunter, DJ, and C Holmes. 2023. “Where Medical Statistics Meets Artificial Intelligence.” New England Journal of Medicine 389 (13): 1211–19.
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Publisher copy:: 10.1056/nejmra2212850

Authors

+ Hunter, DJ More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Nuffield Department of Population Health
Sub department:: Population Health
Oxford college:: Green Templeton College
Role:: Author

+ Holmes, C More by this author

Institution:: University of Oxford
Division:: MSD
Department:: NDM
Sub department:: NDM Strategic
Oxford college:: St Anne's College
Role:: Author
ORCID:: 0000-0002-6667-4943

Publisher:: Massachusetts Medical Society
Journal:: New England Journal of Medicine More from this journal
Volume:: 389
Issue:: 13
Pages:: 1211-1219
Publication date:: 2023-09-27
Acceptance date:: 2023-09-01
DOI:: 10.1056/nejmra2212850
EISSN:: 1533-4406
ISSN:: 0028-4793
Pmid:: 37754286

Language:: English
Keywords:: FFR
Subtype:: Review
Pubs id:: 1537259
Local pid:: pubs:1537259
Deposit date:: 2024-08-15
ARK identifier:: ark:/29072/ora_5557ac5e0fc048058be117e35c55b4e9

Terms of use

Copyright holder:: Massachusetts Medical Society
Copyright date:: 2023
Rights statement:: Copyright © 2023 Massachusetts Medical Society. All rights reserved.

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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