AI education for clinicians

被引：1
作者：
Schubert, Tim [1 ,2 ,8 ]
Oosterlinck, Tim [1 ,3 ]
Stevens, Robert D. [4 ,5 ]
Maxwell, Patrick H. [6 ]
van der Schaar, Mihaela [1 ,7 ]
机构：
[1] Univ Cambridge, Dept Appl Math & Theoret Phys, Cambridge, England
[2] Heidelberg Univ, Med Fac, Heidelberg, Germany
[3] Katholieke Univ Leuven, Fac Med, Leuven, Belgium
[4] Johns Hopkins Univ, Dept Anesthesiol & Crit Care Med, Dept Biomed Engn, Baltimore, MD USA
[5] Johns Hopkins Univ, Inst Computat Med, Baltimore, MD USA
[6] Univ Cambridge, Sch Clin Med, Cambridge, England
[7] Cambridge Ctr AI Med, Cambridge, England
[8] Heidelberg Univ, Inst Human Genet, Heidelberg, Germany
来源：
ECLINICALMEDICINE | 2025年 / 79卷
关键词：
Arti fi cial intelligence; Machine learning; Medical education; Clinicians; Framework; ARTIFICIAL-INTELLIGENCE;
D O I：
10.1016/j.eclinm.2024.102968
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
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.
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收藏
页数：7
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