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在高级烧伤生命支持考试中对ChatGPT,ChatGPT-4和谷歌Bard性能进行比较分析

Mario Alessandri-Bonetti¹, Hilary Y Liu¹, James M Donovan²

¹Department of Plastic Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.

Journal of burn care & research : official publication of the American Burn Association

|June 4, 2024

概括

在高级烧伤生命支持 (ABLS) 考试中,ChatGPT-4和ChatGPT-3.5获得了高分,明显超过了谷歌Bard. 这些大型语言模型 (LLM) 在医学教育中表现有前途,但需要对临床使用进行仔细评估.

科学领域:

医疗教育技术技术医学教育
医疗保健中的人工智能
紧急医疗培训培训紧急医疗培训

背景情况:

人工智能 (AI) 和大型语言模型 (LLM) 正在成为医疗保健中宝贵的工具,影响临床决策,医学教育和研究.
由美国烧伤协会认可的高级烧伤生命支持 (ABLS) 计划为严重烧伤患者的立即护理提供了关键知识.

研究的目的:

在ABLS考试中评估和比较三种领先的大型语言模型 (LLM) ChatGPT-3.5,ChatGPT-4和Google Bard的表现.
评估LLM在回答与关键烧伤患者护理协议有关的问题的准确性.

主要方法:

该研究使用了ABLS考试最新版本的50个多选题.
在2023年7月18日,ChatGPT-3.5,ChatGPT-4和谷歌巴德都接受了ABLS考试问题.
绩效以正确答案的百分比来衡量,通过门为80%.

主要成果:

聊天GPT-4获得了90%的准确性 (45/50),聊天GPT-3.5获得了86% (43/50),谷歌巴德获得了70% (35/50).
聊天GPT-4的表现明显优于谷歌巴德 (P = .012).
在ChatGPT-3.5和ChatGPT-4 (P = .538) 或在ChatGPT-3.5和Bard (P = .054) 之间没有发现显著的性能差异.

结论:

在ABLS考试中,ChatGPT-3.5和ChatGPT-4表现出高准确度,超过了谷歌Bard的表现.
虽然LLM在紧急烧伤和创伤护理教育中显示出潜力,但其应用需要严格的监督.
应将LLM视为补充工具,以增强,而不是取代重症监护机构的人类专业知识.

关键词:

人工智能的人工智能是人工智能.烧烧烧烧烧烧烧烧烧烧烧烧烧烧烧烧烧烧聊天聊天聊天教育教育教育教育的教育.

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