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


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.

SUBMITTER: Badal K 

PROVIDER: S-EPMC10066953 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

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

Badal Kimberly K   Lee Carmen M CM   Esserman Laura J LJ  

Communications medicine 20230401 1


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 sys  ...[more]

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