中国皮肤科医生对临床牛皮情景中的大语言模型反应的偏好:中国全国跨部门调查
Jungang Yang1,2, Jingkai Xu2, Xuejiao Song2
1China-Japan Friendship School of Clinical Medicine Peking University Beijing China.
Health care science
|March 2, 2026
概括
中国皮肤科医生更喜欢ChatGPT-4o用于临床牛皮任务,优先考虑准确性. 可追溯性和逻辑性也是至关重要的,特别是对于那些在初级医院,指导未来的大型语言模型的发展.
科学领域:
- 人工智能在医学中的应用
- 皮肤病学 皮肤病学
- 临床决策支持系统 临床决策支持系统
背景情况:
- 大型语言模型 (LLM) 显示出临床决策的潜力,但在皮肤病学中采用和评估有限.
- 牛皮管理需要准确可靠的临床信息.
- 了解皮肤科医生对LLM生成内容的偏好对于开发有效工具至关重要.
研究的目的:
- 探索中国皮肤科医生在临床牛皮情景中对LLM产生的反应的偏好.
- 评估质量维度的优先级:准确性,可追溯性和逻辑性.
主要方法:
- 一个横截面的,基于网络的调查分发给了中国各地的1247名执业皮肤科医生.
- 参与者评估了来自五个LLM的五个临床牛皮问题类别 (病因,表现,诊断,治疗,案例研究) 的答案.
- 统计分析,包括千平方测试,检查了参与者特征和模型偏好之间的关联.
主要成果:
- 在所有评估的临床任务中,ChatGPT-4o是最喜欢的LLM.
- 准确性是最常被评为"非常重要"的质量维度.
- 初级医院的皮肤科医生比高级医院的皮肤科医生更重视可追溯性.
结论:
- 在与牛皮有关的临床任务中,中国皮肤科医生更喜欢ChatGPT-4o而不是国内的LLM.
- 虽然准确性至关重要,但可追溯性和逻辑性至关重要,特别是对初级保健机构的临床医生来说.
- 未来的临床LLM必须平衡内容准确性,来源透明度和结构清晰度,以满足各种临床需求.
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