To do no harm — and the most good — with AI in health care
Journal
Nature Medicine
ISSN
1078-8956
1546-170X
Type
journal article
Date Issued
2024
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
Tobias Kowatsch
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
Division(s)
Additional Information
Tobias Kowatsch contributed to this commentary as Responsible AI for Social and Ethical Healthcare (RAISE) consortium member