盲目评估GPT-4和医生对多个专业的患者询问的反应
Adrian Sallabi1, Hrvoje Hrvoj2, Andrija Štajduhar1
1School of Medicine, University of Zagreb, Zagreb, Croatia.
Digital health
|December 8, 2025
概括
像GPT-4这样的大型语言模型 (LLM) 在患者沟通方面表现有希望,在响应完整性和同理心方面表现优于医生. 虽然准确和有用,但建议对潜在的AI限制保持谨慎.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床交流 临床沟通
背景情况:
- 患者的询问需要准确,有用,完整和同情的回应.
- 评估大型语言模型 (LLM) 在医疗保健沟通中的能力至关重要.
研究的目的:
- 为了比较GPT-4产生的反应质量与医院专家和全科医生产生的反应质量.
- 评估LLM在支持患者沟通方面的潜力.
主要方法:
- 使用了来自五个专业的在线论坛的100个患者问题.
- 答案是由GPT-4和人类医生 (专家和全科医生) 产生的.
- 一个盲目的专家小组评估了准确性,有用性,完整性和同理心的回应.
主要成果:
- 在所有被评估的类别中,GPT-4获得的评分高于医生.
- 人工智能模型在完整性和同情心方面表现出色,表现优于人类的反应.
- GPT-4始终提供比医生更长,更全面的答案.
结论:
- 人工智能产生的反应表明,通过提供全面和同情的信息,有可能增强患者的沟通.
- 虽然在准确性和有用性方面与医生相匹配或超过,但潜在的AI风险需要仔细考虑.
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