由ChatGPT引起的过渡性缺血性攻击的延迟诊断
Jonathan A Saenger1,2, Jonathan Hunger3, Andreas Boss4,5
1Diagnostic and interventional Radiology, University Hospital Zurich, University Zurich, Zurich, Switzerland. jonathan.saenger@usz.ch.
Wiener klinische Wochenschrift
|February 2, 2024
概括
人工智能 (AI) 工具提供诊断支持,但存在风险. 一个错误的ChatGPT诊断导致治疗延迟,突出了使用不用于医疗决策的AI的危险.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 越来越多地被整合到患者护理中,有助于诊断和工作流程优化.
- 然而,人工智能算法可能是不透明的 ("黑子"),容易出现错误,在临床环境中构成风险.
研究的目的:
- 介绍一个案例研究,说明依赖人工智能工具进行医学诊断的风险.
- 强调由于人工智能生成的错误信息,可能导致严重的治疗延迟和不利的患者结果.
主要方法:
- 一个从ChatGPT获得不正确诊断的患者的病例报告分析.
- 对依赖人工智能诊断造成的临床影响和治疗延迟的审查.
主要成果:
- 一个错误的ChatGPT诊断导致患者推迟寻求适当的医疗评估.
- 这种延迟导致了显著延长的治疗时间表和可能危及生命的情况.
结论:
- 人工智能工具未经专门验证用于医疗决策,在患者护理中存在固有的风险.
- 医疗保健专业人员和患者在使用一般AI应用程序进行医疗咨询时必须谨慎和批判性判断.
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