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评估ChatGPT在中风患者机械血栓切除术中的临床推理
Tse Chiang Chen1, Mitchell W Couldwell1, Jorie Singer1
1Tulane University School of Medicine, New Orleans, Louisiana, USA.
Journal of neurointerventional surgery
|January 6, 2024
概括
像ChatGPT这样的人工智能 (AI) 聊天机器人显示了在中风机械血栓切除中临床推理的潜力. 然而,当前的人工智能模型存在错误,不应该仅仅指导治疗决策.
科学领域:
- 神经学 神经学
- 人工智能在医学中的应用
- 医疗决策支持 医疗决策支持
背景情况:
- 人工智能 (AI) 正在成为医疗应用中的一个有价值的工具.
- 像ChatGPT这样的大型语言模型 (LLM) 显示了临床实践支持的潜力.
- 这项研究评估了ChatGPT作为中风患者机械血栓切除术临床推理辅助的实用性.
研究的目的:
- 评估ChatGPT在机械血栓切除术决策中的临床推理能力.
- 为了比较ChatGPT的性能与中风病例中的专家医生决定.
- 在关键的神经血管程序中分析AI的准确性和解释能力.
主要方法:
- 使用模拟患者场景进行内部验证.
- 追溯分析了102例真实患者病例,这些患者因大血管封闭而接受机械血栓切除术.
- 将ChatGPT的建议与经过董事会认证的神经科医生和神经干预学家的决定进行比较.
主要成果:
- 在54.3%的机械血栓切除病例中,ChatGPT同意医生的决定.
- 人工智能显示出8.8%的错误率,包括数学,逻辑和解释错误.
- 内部验证显示,ChatGPT可以执行多步推理,但错误频率更高.
结论:
- 在机械血栓切除术的临床推理中,ChatGPT显示出有前途,考虑到并发症.
- 由于易发生错误,人工智能工具作为独立的决策工具尚未可靠.
- 作为辅助工具,ChatGPT有可能提高临床医生的工作流程效率.
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