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对ChatGPT-4o和DeepSeek-V3在头部和部瘤学中的比较评价

Burçay Tellioğlu¹, Erim Pamuk¹, Çağrı Külekci¹

¹Department of Otolaryngology Head and Neck Surgery, Hacettepe University Medical School, Ankara, Turkey.

Acta oto-laryngologica

|October 28, 2025

概括

大型语言模型 (LLMs) 在回答头癌 (HNC) 问题时显示出高准确度. 这些人工智能工具为临床决策支持和HNC护理中的患者教育提供了潜力.

科学领域:

人工智能在医学中的应用
自然语言处理自然语言处理.
在瘤学瘤学.

背景情况:

大型语言模型 (LLM) 越来越多地融入临床决策和患者教育.
它们的应用扩展到复杂的医疗专业,如头癌 (HNC).

研究的目的:

评估ChatGPT-4o和DeepSeek-V3在响应HNC相关的临床查询方面的表现.
评估AI响应的准确性,可重复性和模型间一致性.

主要方法:

使用了一套精心策划的154个HNC临床问题,涉及6个类别.
对ChatGPT-4o和DeepSeek-V3.3两者提出了两次问题.
头部和部外科医生独立评估了反应,使用四点准确度表.

主要成果:

聊天GPT-4o获得了92.2%的准确性,而DeepSeek-V3获得了89.6%的准确性 (p=0.42).
这两种模型都显示出高可重现性 (ChatGPT-4o:96.1%;DeepSeek-V3:96.8%).
模型之间的统计一致性很低 (科恩的 κ=0.12,ICC=0.21,p=0.006).

结论:

对于与HNC相关的问题,ChatGPT-4o和DeepSeek-V3都表现出强大的准确性和一致性.
在HNC临床决策和患者教育中,LLM显示出作为可靠工具的承诺,只要考虑到局限性.

关键词:

聊天GPT 聊天GPT 的意思在DeepSeek搜索中深入搜索.头癌是头部和部的癌症.人工智能的人工智能是人工智能.大型语言模型.

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