Making the invisible visible: What can we do about biased AI in medical devices?

Whitehead, M ORCID: 0000-0001-5614-6576, Carrol, E ORCID: 0000-0001-8357-7726, Kee, F and Holmes, C (2023) Making the invisible visible: What can we do about biased AI in medical devices? BMJ, 382. 1893-. ISSN 0959-8146, 1756-1833

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Abstract

As use of artificial intelligence in healthcare grows, we must safeguard against biased AI medical applications and potential harm to health, write Margaret Whitehead and colleagues

Item Type:	Article
Uncontrolled Keywords:	32 Biomedical and Clinical Sciences, 42 Health Sciences, 52 Psychology, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), Bioengineering, 8.1 Organisation and delivery of services, Generic health relevance, 3 Good Health and Well Being
Divisions:	Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Infection, Vet & Ecological Sciences Faculty of Health & Life Sciences > Inst. Population Health
Depositing User:	Symplectic Admin
Date Deposited:	04 Sep 2023 08:43
Last Modified:	01 Mar 2026 00:14
DOI:	10.1136/bmj.p1893
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3172502
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