人工智能和手腕道综合症:对成像技术的系统审查和当代更新
Monica Misch1, Khalid Medani2, Abhishek Rhisheekesan3
1Rubin Institute for Advanced Orthopedics, Baltimore, MD 21224, United States of America.
Hand surgery & rehabilitation
|September 14, 2025
概括
人工智能 (AI) 显著改善了手腕道综合征 (CTS) 诊断,特别是超声波成像. 人工智能增强了中枢神经检测,并补充了其他测试,以获得更好的临床决策.
科学领域:
- 医学成像分析分析 医学成像分析
- 医疗保健中的人工智能
- 神经学诊断的神经学诊断
背景情况:
- 人工智能 (AI) 的进步正在改变诊断成像.
- 手腕道综合征 (CTS) 诊断可能具有挑战性,并从改进的工具中受益.
研究的目的:
- 系统地审查人工智能在诊断手腕道综合征 (CTS) 中的整合.
- 评估AI在增强CTS临床决策方面的潜力.
主要方法:
- 在PubMed,Embase和Cochrane数据库中进行系统的文献搜索,遵循PRISMA指南.
- 对22项评估AI用于CTS诊断或检测的研究进行定性分析.
- 纳入标准侧重于AI在CTS诊断中的应用.
主要成果:
- 人工智能模型,特别是深度学习,显示出强大的诊断性能,特别是超声波 (美国) 成像.
- 人工智能在中枢神经检测和细分方面表现出色,在灵敏度和特异性方面经常超过放射科医生.
- 人工智能为神经完整性提供了洞察力,补充了电肌学 (EMG) 和放射性特征量化.
结论:
- 人工智能显示出作为CTS诊断和管理的辅助工具的显著前景.
- 人工智能可以支持准确,可重现的诊断和数字文档.
- 整合人工智能可能会增强临床评估,手术决策和远程医疗能力.
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