Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
BMC Med Educ. 2024 Oct 7;24(1):1096. doi: 10.1186/s12909-024-06048-z.
Reports of Large Language Models (LLMs) passing board examinations have spurred medical enthusiasm for their clinical integration. Through a narrative review, we reflect upon the skill shifts necessary for clinicians to succeed in an LLM-enabled world, achieving benefits while minimizing risks. We suggest how medical education must evolve to prepare clinicians capable of navigating human-AI systems.
大语言模型（LLM）通过专业考试的报告激发了医学界将其临床应用的热情。通过叙述性回顾，我们反思了临床医生在 LLM 支持的世界中取得成功所需的技能转变，在实现收益的同时将风险最小化。我们建议医学教育必须如何发展，以培养能够驾驭人机系统的临床医生。
