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谷歌bard和ChatGPT在大规模伤亡事件分类中的表现
Rick Kye Gan1, Jude Chukwuebuka Ogbodo2, Yong Zheng Wee3
1Unit for Research in Emergency and Disaster, Faculty of Medicine and Health Sciences, University of Oviedo, Oviedo 33006, Spain.
The American journal of emergency medicine
|November 15, 2023
概括
谷歌Bard在使用简单的选和快速治疗 (START) 方法进行大规模伤亡事件分拣方面超过了ChatGPT. 巴德实现了60%的准确性,明显优于ChatGPT的26.67%.
科学领域:
- 在紧急医疗中的人工智能.
- 自然语言处理用于选.
背景情况:
- 大规模伤亡事件 (MCI) 需要快速准确的分拣.
- 像ChatGPT和Google Bard这样的AI工具正在被用于医疗应用.
- 对人类医疗专业人员进行AI性能评估至关重要.
研究的目的:
- 为了比较ChatGPT,谷歌巴德和医学学生的分拣性能.
- 在MCI期间评估简单选和快速治疗 (START) 的准确性和内容.
主要方法:
- 在MCI选中对AI和人类表现的横截面分析.
- 使用一个验证的调查问卷与15个不同的MCI场景.
- 在"行走受伤"",呼吸"",输血"和"精神状态"类别中评估了准确性和内容.
主要成果:
- 谷歌巴德实现了60%的准确性,明显超过了ChatGPT (26.67%,p=0.002).
- 谷歌巴德的表现与医学学生的表现相当 (在之前的研究中为64.3%,p=0.211).
- 定性分析显示,谷歌Bard在分类类别中优于ChatGPT.
结论:
- 谷歌Bard在MCI的START分拣中展示了比ChatGPT更高的准确性.
- 人工智能工具在协助紧急医疗分组方面显示出潜力.
- 需要进一步的研究来改进人工智能用于复杂的医疗决策.
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