虚拟骨折诊所中的人工智能:对成像和临床文本工具的系统审查
Tenghis Sukhbaatar1, Andrew Davies2,3, Aran Koye4
1Imperial College London, London, UK. tenghis.sukhbaatar21@imperial.ac.uk.
Journal of orthopaedic surgery and research
|February 7, 2026
概括
人工智能 (AI) 在虚拟骨折诊所 (VFC) 中显示出有前途的可能性,用于使用成像检测骨折. 然而,需要用于临床文本的自然语言处理 (NLP) 工具来完全将AI整合到VFC中.
科学领域:
- 整形外科手术 整形外科手术
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 虚拟骨折诊所 (VFC) 是骨科护理途径的组成部分.
- 人工智能 (AI) 在医疗保健领域具有颠覆性的潜力.
- 本综述评估了用于VFC患者分拣和管理的AI工具.
研究的目的:
- 评估人工智能系统的机会,性能和准备情况.
- 分析AI整合临床文本和成像数据.
- 确定AI在VFC分拣和管理中的作用.
主要方法:
- 搜索了 MEDLINE 和 Embase (2010 年 1 月至 2025 年 7 月).
- 包括人工智能用于X射线骨折检测和NLP用于临床文档的研究.
- 进行了随机效应的元分析,以聚合灵敏度和特异性.
主要成果:
- 包括54项研究:52个成像,2个NLP.
- 商业人工智能工具显示出高灵敏度 (四肢92.58%,手腕89.95%).
- 研究人员开发的模型在敏感性方面往往优于商业工具;临床文本的NLP工具缺乏.
结论:
- VFCs需要集成成像和患者记录数据.
- 高性能的人工智能工具存在,用于通过成像识别骨折.
- 开发用于临床文档的NLP工具对于AI-VFC实施至关重要.
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