人工智能为基因组医学中的问题提供答案
Mary Kate Worden1, Allison Cruise2, Johanna M B Craig3
1Office of Medical Education, Center for Medical Education Research and Scholarly Innovation, University of Virginia School of Medicine, Charlottesville, VA USA.
Medical science educator
|January 20, 2026
概括
一年级医学学生评估了基因组医学中人工智能生成的内容,识别了人工智能.
科学领域:
- 医学教育 医学教育
- 基因组医学是基因组医学.
- 人工智能的人工智能
背景情况:
- 越来越多地建议将人工智能 (AI) 整合到医学教育中.
- 在专门的医疗领域,人工智能工具的能力和局限性需要仔细评估.
研究的目的:
- 评估一年级医学学生对基因组医学中人工智能产生的反应的批判性评估.
- 评估人工智能输出与当前生物医学文献的一致性.
主要方法:
- 一年级医学学生的任务是批评ChatGPT对基因组医学提出的问题产生的反应.
- 学生的批评侧重于将人工智能产生的内容与已建立的生物医学文献进行比较.
主要成果:
- 学生们确定了人工智能在基因组医学中产生的内容的特定优点和局限性.
- 该演习强调了医疗学员对人工智能输出进行批判性评估的必要性.
结论:
- 批评基因组医学中的AI输出有效地培养了医学学生的批判性思维技能.
- 这种教育方法支持将AI整合到医疗保健培训和实践中.
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