通过多式LLM对纯色音频图的诊断解释:对ChatGPT-5.0和Gemini 2.5进行比较研究
Ceren Karaçaylı1,2, Emel Tahir3, Emine Elif Altuntaş4
1Department of Audiology, University of Health Sciences, Ankara, Türkiye. ckaracayli@yahoo.com.
概括
与双子座2.5.5相比,ChatGPT-5.0 Plus在解释纯色音频图表方面显示出更高的准确性. 这些大型语言模型可以帮助在初级保健和远程医疗环境中进行初步的听觉评估.
科学领域:
- 医疗保健中的人工智能
- 听力学 听力学是指听力学.
- 医学诊断 医学诊断 医学诊断
背景情况:
- 大型语言模型 (LLM) 越来越多地被用于医学应用.
- 在听力学等专业领域评估LLM诊断准确度至关重要.
研究的目的:
- 为了比较ChatGPT-5.0 Plus和Gemini 2.5的诊断准确度在解释纯音频音频图中.
- 评估LLM在识别听觉值,听力损失类型/程度以及治疗建议方面的表现.
主要方法:
- 一项模拟研究使用了80个软件生成的音频图.
- 两位LLM都通过一个结构化的七个问题提示符来解释音频.
- 听力学家和耳鼻喉学家使用五分利克特度量表来评估反应.
主要成果:
- 聊天GPT-5.0 Plus在七个诊断项目中的六个和整体上表现优于双子座2.5.
- 聊天GPT表现出几乎完美的评价者之间的一致性 (κ=0.951),优于双子座 (κ=0.823).
- 在值识别,听力损失分类和整体诊断准确性方面发现了ChatGPT在统计学上显著的优势.
结论:
- 聊天GPT-5.0 Plus在纯音调音频图解中表现出卓越的准确性和一致性.
- 在初级保健和远程医疗中,LLM显示出作为初步听力学评估的辅助工具的潜力.
- 在广泛实施之前,需要进一步的现实世界的临床验证.
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