人工智能产生的答案和医生对健康相关问题的答案
Tiril Egset Mork1, Håkon Garnes Mjøs1, Harald Giskegjerde Nilsen2
1Det medisinske fakultet, Universitetet i Bergen.
概括
像GPT-4这样的大型语言模型提供了比医生更富同情心和信息化的健康答案. 这种人工智能可以帮助医疗保健专业人员有效地响应患者的查询.
科学领域:
- 医疗保健中的人工智能
- 自然语言处理自然语言处理.
- 医疗信息学 医疗信息学
背景情况:
- 以前的研究表明,像GPT-3.5这样的大型语言模型 (LLM) 产生了比医生更富同情心和信息性的健康答案.
- 新的GPT-4模型在挪威医疗保健环境中的功能需要调查.
研究的目的:
- 将GPT-4语言模型提供的与健康相关的答案质量与人类医生的答案进行比较.
- 从医疗保健专业人员的角度评估GPT-4在同情心,信息质量和帮助性方面的表现.
主要方法:
- 192个与健康有关的问题和医生提供的答案来自Studentspør.no.
- GPT-4为同样的问题提供了新的答案.
- 344名医疗保健专业人员在一个盲目的研究中评估了两组答案,对同情,信息质量和帮助性进行了评分.
主要成果:
- 在所有评估指标 (同理心,信息质量和帮助性) 上,GPT-4产生的答案被评为明显高 (p < 0.001) 于医生提供的答案.
- 每个答案的平均评价数为5.7.
结论:
- 医疗保健专业人员认为,GPT-4对健康相关问题的反应优于人类医生的反应.
- 人工智能,特别是像GPT-4这样的LLM,显示出作为支持医疗保健人员起草有效应对措施的有价值工具的潜力.
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