人与机器:在可能的Cauda Equina综合征中决定高风险的手术
Elie Najjar1, Ahmed Hassan2, Rodrigo Muscogliati3
1Centre for Spinal Studies and Surgery, Queens Medical Centre, Nottingham University Hospitals NHS Trust, Nottingham, NG7 2UH, UK.
概括
一个人工智能语言模型ChatGPT显示与脊柱多学科团队在识别Cauda Equina综合征 (CES) 手术候选人的实质性一致. 这表明AI是AI.
科学领域:
- 脊柱外科手术 脊柱外科手术
- 人工智能在医学中的应用
- 临床决策支持 临床决策支持
背景情况:
- 尾牙综合征 (CES) 是一个关键的脊柱外科紧急情况.
- 迅速干预对于预防不可逆转的神经缺陷至关重要.
- 准确识别手术候选人对于最佳的患者结果至关重要.
研究的目的:
- 评估ChatGPT和脊柱多学科团队 (MDT) 在疑似CES病例中进行手术建议的一致性.
- 评估AI在诊断紧急脊柱疾病中的潜在作用.
主要方法:
- 追溯分析了150个 CES 转介的情况.
- 在ChatGPT和脊椎MDT之间进行手术建议的比较.
- 独立的脊椎外科医生审查了不同的病例.
主要成果:
- 在ChatGPT和MDT之间实现了88.7%的一致率 (科恩的卡帕=0.764).
- 在不一致的病例中,ChatGPT建议在不一致的病例中更频繁地进行手术,尽管不显著.
- 专家外科医生显示出差异性,同意64.7%的异调病例.
结论:
- 在确定CES手术需求方面,ChatGPT与专家团队达成了实质性的协议.
- 人工智能可以作为一个有价值的工具,以支持临床决策在脊柱手术分类.
- 为了在CES管理中广泛采用AI的临床应用,需要进一步验证.
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