临床医生的人工智能教育。

IF 9.6 1区医学 Q1 MEDICINE, GENERAL & INTERNAL

EClinicalMedicine Pub Date : 2024-12-06 eCollection Date: 2025-01-01 DOI:10.1016/j.eclinm.2024.102968

Tim Schubert, Tim Oosterlinck, Robert D Stevens, Patrick H Maxwell, Mihaela van der Schaar

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引用次数: 0

摘要

医疗人工智能的快速发展需要对临床医生进行有针对性的教育，以确保人工智能工具的安全性，并有效地用于改善患者的治疗效果。为了支持医学教育中利益相关者的决策，我们提出了三个层次的医学人工智能专业知识，并概述了不同教育阶段医学教育面临的挑战。此外，我们还提供了建议和示例，鼓励利益相关者使用此框架调整和塑造适合其特定医疗保健环境的课程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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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来源期刊

EClinicalMedicine Medicine-Medicine (all)

CiteScore

18.90

自引率

1.30%

发文量

506

审稿时长

22 days

期刊介绍： eClinicalMedicine is a gold open-access clinical journal designed to support frontline health professionals in addressing the complex and rapid health transitions affecting societies globally. The journal aims to assist practitioners in overcoming healthcare challenges across diverse communities, spanning diagnosis, treatment, prevention, and health promotion. Integrating disciplines from various specialties and life stages, it seeks to enhance health systems as fundamental institutions within societies. With a forward-thinking approach, eClinicalMedicine aims to redefine the future of healthcare.