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Review
. 2024 Dec 6:79:102968.
doi: 10.1016/j.eclinm.2024.102968. eCollection 2025 Jan.

AI education for clinicians

Tim Schubert  1   2   3 , Tim Oosterlinck  1   4 , Robert D Stevens  5 , Patrick H Maxwell  6 , Mihaela van der Schaar  1   7
Affiliations
Review

AI education for clinicians

Tim Schubert et al. EClinicalMedicine. .

Abstract

Rapid advancements in medical AI necessitate targeted educational initiatives for clinicians to ensure AI tools are safe and used effectively to improve patient outcomes. To support decision-making among stakeholders in medical education, we propose three tiers of medical AI expertise and outline the challenges for medical education at different educational stages. Additionally, we offer recommendations and examples, encouraging stakeholders to adapt and shape curricula for their specific healthcare setting using this framework.

Keywords: Artificial intelligence; Clinicians; Framework; Machine learning; Medical education.

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Conflict of interest statement

TS and TO have nothing to disclose. RDS is an advisor to PIPRA AG, Ceribell Inc, and B-Secur Ltd and has received an NIH/NIA research grant. PHM is a member of the Boards of Scottish Mortgage Investment Trust and the International Biotechnology Trust, and the Scientific Advisory Board of Mission Therapeutics. MvdS leads the Cambridge Centre for AI in Medicine; this centre has received research funding from AstraZeneca and GlaxoSmithKline.

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