Guiding principles for the responsible development of artificial intelligence tools for healthcare

Kimberly Badal; Carmen M Lee; Laura J Esserman

doi:10.1038/s43856-023-00279-9

Guiding principles for the responsible development of artificial intelligence tools for healthcare

Commun Med (Lond). 2023 Apr 1;3(1):47. doi: 10.1038/s43856-023-00279-9.

Authors

Kimberly Badal¹, Carmen M Lee², Laura J Esserman³

Affiliations

¹ Department of Surgery, Helen Diller Comprehensive Cancer Center, University of California, San Francisco, CA, USA. kimberly.badal@ucsf.edu.
² Department of Emergency Medicine, Highland Hospital, Alameda Health System, Alameda, CA, USA.
³ Department of Surgery, Helen Diller Comprehensive Cancer Center, University of California, San Francisco, CA, USA.

Abstract

Several principles have been proposed to improve use of artificial intelligence (AI) in healthcare, but the need for AI to improve longstanding healthcare challenges has not been sufficiently emphasized. We propose that AI should be designed to alleviate health disparities, report clinically meaningful outcomes, reduce overdiagnosis and overtreatment, have high healthcare value, consider biographical drivers of health, be easily tailored to the local population, promote a learning healthcare system, and facilitate shared decision-making. These principles are illustrated by examples from breast cancer research and we provide questions that can be used by AI developers when applying each principle to their work.

Publication types

Review