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肝病学中的人工智能:对回答临床问题的ChatGPT-4,Bing和Bard进行比较分析

Sama Anvari¹, Yung Lee^2,3, David Shiqiang Jin⁴

¹Division of Gastroenterology, Department of Medicine, McMaster University, Hamilton, ON, L8S 4L8, Canada.

Journal of the Canadian Association of Gastroenterology

|April 14, 2025

概括

人工智能 (AI) 模型在回答肝病学问题的准确性各不相同. 聊天GPT-4表现最好,在临床环境中展示了大型语言模型 (LLM) 的潜力,需要进一步研究.

科学领域:

肝病学肝病学是一种肝病学.
人工智能的人工智能
医学教育医学教育

背景情况:

人工智能在肝病学中的应用正在增长,但其在回答临床问题的准确性尚未得到充分证实.
评估像ChatGPT这样的大型语言模型 (LLM) 的功能对于它们融入医疗实践至关重要.

研究的目的:

在回答肝病学相关的临床问题时,评估不同LLM的答案的准确性和质量.
为了比较在专业医疗领域的各种法学士的表现.

主要方法:

来自自学问平台的144个肝病学问题被输入到ChatGPT-4,Bing和Bard.
问题以多选项和开放式的形式呈现.
评估了答案的准确性和完整性,并进行了统计分析.

主要成果:

聊天GPT-4实现了最高的准确性 (62.3%的多选项, 44.4%的开放式).
在两个问题格式中,Bing和Bard的准确率都较低.
聊天GPT-4和Bing回答了所有问题,而Bard没有回答11.8%的问题.

结论:

在回答临床肝病学问题时,LLM表现出可变的准确性.
问题的格式 (多选项与开放式) 并没有显著影响LLM的有效性.
需要进一步调查,以确定肝病学LLM的最佳临床和教育应用.

关键词:

人工智能的人工智能是人工智能.临床临床临床临床临床临床临床肝脏病学肝脏病学是指肝脏病学.大型语言模型.医学教育医学教育

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