对比基于大型语言模型的工具在患者驱动的玻璃眼调查中的性能
Dhruva Gupta1,2, Sarah L Wagner1,2, Alexandra G Castillejos Ellenthal3
1Harvard Medical School.
Journal of glaucoma
|September 9, 2025
概括
与Gemini Pro.相比,GPT-4o和GPT-4o Mini在眼问题上提供了更好的答案. 这些发现凸显了人工智能 (AI) 聊天机器人在为患者护理提供可靠的医疗信息方面的潜力.
科学领域:
- 人工智能在医学中的应用
- 眼科医生 眼科 眼科
- 医疗信息学 医疗信息学
背景情况:
- 大型语言模型 (LLM) 越来越多地被患者用于寻找在线医疗信息,以治疗像玻璃眼这样的疾病.
- 了解LLM之间的性能差异对于指导患者找到可靠的绿眼病护理资源至关重要.
研究的目的:
- 评估和比较不同LLM在回答患者相关的眼问题的表现.
- 评估人工智能聊天机器人生成的响应的准确性,全面性,质量和可读性.
主要方法:
- 一项横截面研究涉及向GPT-4o,GPT-4o Mini,Gemini Pro和Gemini Flash提出七个由患者生成的玻璃眼问题.
- 眼科医生通过使用利克特尺度对答案的准确性,全面性和质量进行了评估.
- 使用Flesch-Kincaid等级水平测量可读性,使用BERT分数评估语义相似性.
主要成果:
- GPT-4o的准确性,全面性和质量明显高于Gemini Pro.
- 与Gemini Pro.相比,GPT-4o Mini也显示出更高的全面性和质量.
- 没有观察到可读性方面的显著差异,大多数LLM响应在语义上是相似的.
结论:
- GPT模型 (GPT-4o和GPT-4o Mini) 在提供高质量,全面的玻璃眼病信息方面优于Gemini Pro.
- 人工智能聊天机器人显示出很大的潜力,可以为患者提供医疗相关的知识,帮助他们管理眼睛健康.
- 这些结果可以为患者和医疗保健提供者提供关于最有效的AI工具的信息.
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