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引领医学领域的人工智能革命——医学教育的应对策略

Navigating the AI Revolution in Medicine-Adopting Strategies for Medical Education.

作者信息

Greengrass Colin

机构信息

Royal College of Surgeons in Ireland - Medical University of Bahrain, Adliya 15503, Bahrain.

出版信息

Med Sci Educ. 2024 Dec 27;35(2):1055-1061. doi: 10.1007/s40670-024-02257-9. eCollection 2025 Apr.

Abstract

The integration of artificial intelligence (AI) into healthcare is set to fundamentally transform the role of medical professionals. This article takes a dive into the future specifying several strategies to prepare medical and other health professions students for an AI-driven healthcare system. It highlights the current and potential applications of AI in healthcare and discusses, in the immediate term, the necessity of incorporating AI education into medical curricula, including hands-on training and interdisciplinary collaboration. With a view to a more distant future, it also addresses probable ethical considerations, the evolving roles of healthcare professionals, a need for contingency and emphasises the importance of maintaining clinical skills amidst AI advancements. These strategies all aim to equip future medical graduates with competencies in knowledge, skills, and ethical grounding required to thrive in an AI-dominated healthcare environment. This framework is intended to stimulate discussion and provide a foundation upon which more detailed, context-specific strategies can be developed by educators, policymakers, and other stakeholders.

摘要

将人工智能(AI)融入医疗保健领域,势必会从根本上改变医学专业人员的角色。本文深入探讨未来发展,明确了多项策略,旨在让医学及其他健康专业的学生为人工智能驱动的医疗系统做好准备。文章重点介绍了人工智能在医疗保健领域的当前及潜在应用,并讨论了在近期将人工智能教育纳入医学课程的必要性,包括实践培训和跨学科合作。展望更长远的未来,文章还探讨了可能出现的伦理考量、医疗保健专业人员角色的演变、应对突发事件的需求,并强调了在人工智能发展过程中保持临床技能的重要性。这些策略的目标都是让未来的医学毕业生具备在人工智能主导的医疗环境中蓬勃发展所需的知识、技能和道德基础方面的能力。该框架旨在激发讨论,并为教育工作者、政策制定者和其他利益相关者制定更详细、针对具体情况的策略提供基础。

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