Publication

Tackling bias in AI health datasets through the STANDING Together initiative.

Ganapathi, Shaswath
; 
Palmer, Jo
; 
Alderman, Joseph E
; 
Calvert, Melanie
; 
Espinoza, Cyrus
; 
Gath, Jacqui
; 
Ghassemi, Marzyeh
; 
Heller, Katherine
; 
McKay, Francis
; 
Karthikesalingam, Alan
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Abstract
No abstract available
MIDER Authors
Palmer, Jo
Alderman, Joseph E
Sapey, Elizabeth
Denniston, Alastair K
Liu, Xiaoxuan
Citations
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Date
2022-11-28
Type
Article
Subject
Patients. Primary care. Medical profession. Forensic medicine
Collections
UHB Health Care Services
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Citation
Ganapathi S, Palmer J, Alderman JE, Calvert M, Espinoza C, Gath J, Ghassemi M, Heller K, Mckay F, Karthikesalingam A, Kuku S, Mackintosh M, Manohar S, Mateen BA, Matin R, McCradden M, Oakden-Rayner L, Ordish J, Pearson R, Pfohl SR, Rostamzadeh N, Sapey E, Sebire N, Sounderajah V, Summers C, Treanor D, Denniston AK, Liu X. Tackling bias in AI health datasets through the STANDING Together initiative. Nat Med. 2022 Nov;28(11):2232-2233. doi: 10.1038/s41591-022-01987-w
Journal / Source Title
Nature Medicine
DOI
10.1038/s41591-022-01987-w
URI
http://hdl.handle.net/20.500.14200/3456
PMID
36163296
Publisher
Nature Research
Publisher’s URL
http://www.nature.com/nm/index.html
Publisher’s statement
Note / Copyright