生成式AI在医学教育中表现堪比人类，但需警惕其对专业能力培养的潜在负面影响。
Generative Artificial Intelligence: Implications for Biomedical and Health Professions Education
- 基于大语言模型的生成式AI可模拟医生考试与临床决策
- 在课程学习与评估中表现优异，接近甚至超过人类水平
- 适合医学院师生掌握，需建立规范使用指南
生成式人工智能对生物医学与健康领域产生了深远影响，既体现在专业工作上，也体现在教育中。基于大语言模型（LLMs）的生成式AI在模拟医学执照考试、回答临床问题、解决临床案例、应用临床推理及信息摘要等方面的表现已达到与人类相当的水平。该技术也被广泛应用于教育场景，在学术课程及其评估中表现出色。本文综述了大语言模型在教育中的成功应用，同时指出其可能削弱专业知识与技能习得的挑战，并提出克服这些缺陷的最佳实践建议。尽管存在局限性，生物医学与健康领域的所有学生和教师都必须理解并具备使用生成式AI的能力。
原文摘要 · Abstract (English)
Generative AI has had a profound impact on biomedicine and health, both in professional work and in education. Based on large language models (LLMs), generative AI has been found to perform as well as humans in simulated situations taking medical board exams, answering clinical questions, solving clinical cases, applying clinical reasoning, and summarizing information. Generative AI is also being used widely in education, performing well in academic courses and their assessments. This review summarizes the successes of LLMs and highlights some of their challenges in the context of education, most notably aspects that may undermines the acquisition of knowledge and skills for professional work. It then provides recommendations for best practices overcoming shortcomings for LLM use in education. Although there are challenges for use of generative AI in education, all students and faculty, in biomedicine and health and beyond, must have understanding and be competent in its use.
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