在毒理紧急情况中,ChatGPT的潜力和陷
Caglar Kuas1, Mustafa Emin Canakci1, Nurdan Acar1
1Emergency Department, Eskisehir Osmangazi University, Osmangazi University Meşelik Campus, Osmangazi University Health Practice and Research Hospital, Eskişehir, Turkey.
像ChatGPT这样的人工智能 (AI) 在帮助急诊医生处理中毒病例方面表现有前途,准确回答89%的毒理学问题. 虽然有效,但人工智能对于复杂的儿科情景需要进一步改进.
科学领域:
- 医学毒理学医学毒理学
- 人工智能在医学中的应用
- 紧急医疗决策支持 紧急医疗决定支持
背景情况:
- 毒害病例对急救部门来说是一个重大挑战,需要快速准确的干预.
- 紧急医生经常难以获得及时,最新的毒理学信息.
- 人工智能语言模型,如ChatGPT,有可能成为医疗保健中的诊断辅助工具.
研究的目的:
- 评估ChatGPT作为毒理学决策支持工具的有效性.
- 评估ChatGPT准确回答毒理学研究指南问题的能力.
主要方法:
- 分析了ChatGPT对"Goldfrank毒理学紧急情况研究指南"中的问题的答案.
- 用同样的问题对医疗学员的准确性进行了比较.
- 对准确率进行了比较,以确定AI的实用性.
主要成果:
- 聊天GPT实现了89%的准确率,超过了人类响应者 (56%的准确率).
- 在儿科和复杂的基于病例的毒理学问题中,AI的表现明显较低.
- 确定了人工智能模型改进的领域.
结论:
- 聊天GPT显示出作为管理毒理紧急情况的辅助工具的巨大潜力.
- 人工智能可以在高压环境中支持紧急医生.
- 由于人工智能的局限性,需要不断改进和仔细的临床应用.
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