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AI education for clinicians

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 th...

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Bibliographic Details
Main Authors: Schubert, Tim Felix (Author) , Oosterlinck, Tim (Author) , Stevens, Robert D. (Author) , Maxwell, Patrick H. (Author) , van der Schaar, Mihaela (Author)
Format: Article (Journal)
Language:English
Published: January 2025
In: EClinicalMedicine
Year: 2025, Volume: 79, Pages: 1-7
ISSN:2589-5370
DOI:10.1016/j.eclinm.2024.102968
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.eclinm.2024.102968
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S2589537024005479
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Author Notes:Tim Schubert, Tim Oosterlinck, Robert D. Stevens, Patrick H. Maxwell, and Mihaela van der Schaar
Description
Summary: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.
Item Description:Online verfügbar: 6. Dezember 2024
Gesehen am 04.06.2025
Physical Description:Online Resource
ISSN:2589-5370
DOI:10.1016/j.eclinm.2024.102968

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