评估GPT-4在急诊室关键病人的管理中的作用
Yavuz Yiğit1,2, Serkan Günay3, Ahmet Öztürk3
1Blizard Institute, Queen Mary University, London, United Kingdom.
PloS one
|July 24, 2025
概括
像GPT-4这样的人工智能 (AI) 工具在解释心电图 (ECG) 和管理紧急患者护理方面存在局限性,具有高临界错误率. 在临床部署之前需要进一步验证.
科学领域:
- 人工智能在医学中的应用
- 医学诊断 医学诊断 医学诊断
- 紧急医疗 紧急医疗
背景情况:
- 最近的AI进步包括像GPT-4这样的工具,能够解释视觉数据,如心电图 (ECG).
- 人工智能在紧急情况下对心电图解释和患者管理的潜在应用需要彻底调查.
研究的目的:
- 评估GPT-4在解释心电图的有效性.
- 评估GPT-4在紧急情况下管理患者护理的能力.
主要方法:
- GPT-4分析了PubMed Central和欧安组织样本问卷中的20个心电图案例场景.
- 解释和管理计划由五名紧急医疗专家审查.
- 评估了ECG解释和患者管理中的准确性和关键错误.
主要成果:
- 在心电图解释方面,GPT-4的临界错误率为46%至50%,在患者治疗计划方面为14%至32%.
- 当ECG解释纳入管理时,错误率接近50%.
- 在人类评价者中观察到高的评价者间可靠性 (ICC = 0.725).
结论:
- 目前在心电图解读和紧急病人的管理中GPT-4的性能不足以用于临床使用.
- 显著的局限性需要进一步开发人工智能和严格验证关键医疗保健应用程序.
- 人工智能工具在紧急部门可靠部署之前需要进行广泛的测试.
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