Medical education and physician training in the era of artificial intelligence.

Singapore medical journal Pub Date : 2024-03-01 Epub Date: 2024-03-26 DOI:10.4103/singaporemedj.SMJ-2023-203
Yueyuan Xu, Zehua Jiang, Daniel Shu Wei Ting, Alfred Wei Chieh Kow, Fernando Bello, Josip Car, Yih-Chung Tham, Tien Yin Wong
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Abstract

Abstract: With the rise of generative artificial intelligence (AI) and AI-powered chatbots, the landscape of medicine and healthcare is on the brink of significant transformation. This perspective delves into the prospective influence of AI on medical education, residency training and the continuing education of attending physicians or consultants. We begin by highlighting the constraints of the current education model, challenges in limited faculty, uniformity amidst burgeoning medical knowledge and the limitations in 'traditional' linear knowledge acquisition. We introduce 'AI-assisted' and 'AI-integrated' paradigms for medical education and physician training, targeting a more universal, accessible, high-quality and interconnected educational journey. We differentiate between essential knowledge for all physicians, specialised insights for clinician-scientists and mastery-level proficiency for clinician-computer scientists. With the transformative potential of AI in healthcare and service delivery, it is poised to reshape the pedagogy of medical education and residency training.

人工智能时代的医学教育和医生培训。
摘要:随着生成式人工智能(AI)和人工智能驱动的聊天机器人的兴起,医学和医疗保健的格局正处于重大变革的边缘。本视角将深入探讨人工智能对医学教育、住院医师培训和主治医师或顾问继续教育的未来影响。我们首先强调了当前教育模式的局限性、师资力量有限带来的挑战、医学知识飞速发展带来的统一性以及 "传统 "线性知识获取的局限性。我们为医学教育和医生培训引入了 "人工智能辅助 "和 "人工智能整合 "范式,旨在打造一个更加普及、便捷、优质和互联的教育之旅。我们将所有医生的基本知识、临床科学家的专业见解和临床计算机科学家的大师级水平区分开来。随着人工智能在医疗保健和服务提供方面的变革潜力,它将重塑医学教育和住院医师培训的教学方法。
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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