To do no harm — and the most good — with AI in health care
Journal
Nature Medicine
ISSN
1078-8956
Type
journal article
Date Issued
2024-02
Author(s)
Carey Beth Goldberg
;
Laura Adams
;
David Blumenthal
;
Patricia Flatley Brennan
;
Noah Brown
;
Atul J. Butte
;
Morgan Cheatham
;
Dave deBronkart
;
Jennifer Dixon
;
Jeffrey Drazen
;
Barbara J. Evans
;
Sara M. Hoffman
;
Chris Holmes
;
Peter Lee
;
Arjun Kumar Manrai
;
Gilbert S. Omenn
;
Jonathan B. Perlin
;
Rachel Ramoni
;
Guillermo Sapiro
;
Rupa Sarkar
;
Harpreet Sood
;
Effy Vayena
;
Isaac S. Kohane
;
Emily Alsentzer
;
Brian Anderson
;
Ran D. Balicer
;
Andrew L. Beam
;
Erwin Bottinger
;
Rebecca W. Brendel
;
Payal Chandak
;
Arnaub Chatterjee
;
Michael Chernew
;
Antoine Duclos
;
Lee A. Fleisher
;
William Gordon
;
Elizabeth Healey
;
Alejandro Hernández-Arango
;
Michele Kathleen Herndon
;
Alexander Hoffmann
;
Edward M. Hundert
;
Indra Joshi
;
;
Stephen Kraus
;
Lisa Soleymani Lehmann
;
Karim Lekadir
;
Vincent X. Liu
;
Daniel J. Nigrin
;
Reut Ohana
;
Nigam H. Shah
;
Haris Shuaib
;
Tania Simoncelli
;
Amelia Li Min Tan
;
Donrich Thaldar
;
Eugene Tunik
;
Tommy Wang
;
John Wilbanks
;
Yuchen Xu
;
Jianfei Zhao
Abstract
Drawing from real-life scenarios and insights shared at the RAISE (Responsible AI for Social and Ethical Healthcare) conference, we highlight the critical need for AI in health care (AIH) to primarily benefit patients and address current shortcomings in health care systems such as medical errors and access disparities.
Language
English
HSG Classification
contribution to practical use / society
Refereed
Yes
Number
30
Start page
623
End page
627
Subject(s)
Division(s)
Additional Information
Tobias Kowatsch contributed to this commentary as Responsible AI for Social and Ethical Healthcare (RAISE) consortium member