理解和培训大语言模型和人工智能在医疗实践中的影响：叙事性综述。
Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review.
机构信息
Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada.
Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
出版信息
BMC Med Educ. 2024 Oct 7;24(1):1096. doi: 10.1186/s12909-024-06048-z.
Abstract
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.
摘要
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。
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