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人工智能如何应对常见的肺癌问题:聊天GPT与谷歌Bard

Amir Ali Rahsepar¹, Neda Tavakoli², Grace Hyun J Kim^3,4

¹Department of Radiological Sciences, Division of Cardiothoracic Imaging, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

|June 13, 2023

概括

在与肺癌相关的查询中,ChatGPT-3.5的准确性和一致性高于谷歌Bard,Bing和谷歌搜索. 然而,没有人工智能工具提供完美的答案或完整的一致性,突出了人类放射科医生监督的必要性.

科学领域:

人工智能在医学中的应用
医疗信息学医疗信息学
放射学放射学是一门学科.

背景情况:

像ChatGPT和Google Bard这样的大型语言模型 (LLM) 在医疗保健中提供了潜在的好处和挑战.
越来越多的人工智能使用,需要评估它们在专业医疗领域的表现.

研究的目的:

为了比较ChatGPT-3.5和Google Bard在回答有关肺癌预防,查和放射学术语的非专家问题的准确性和一致性.
根据已建立的指导方针评估AI性能,例如肺成像报告和数据系统 (Lung-RADS) v2022.

主要方法:

对聊天GPT-3.5,谷歌Bard,Bing和谷歌搜索提出了40个关于肺癌的相同问题.
两位放射科医生对答案的准确性进行了审查 (正确,部分正确,不正确,未回答).
基于AI响应之间的一致性进行了评估,并使用Stata进行了统计分析.

主要成果:

聊天GPT-3.5获得了70.8%的正确答案和11.7%的部分正确答案.
谷歌巴德回答了79.9%的问题,51.7%是正确的,9.2%是部分正确的.
与谷歌巴德相比,ChatGPT-3.5的准确性 (OR=1.55) 和一致性 (OR=6.65) 显著更高.

结论:

在与肺癌相关的查询中,ChatGPT-3.5在准确性和一致性方面超过了其他AI工具.
没有人工智能工具提供了完全的准确性或一致性,这凸显了医学应用中专家人类审查的持续重要性.
需要进一步的研究,以提高AI可靠性在专业医疗领域.

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