人工智能与手术前规划中的传统方法的比较:系统性审查和元分析
Di Xue1, Kaiyong Wang1, Huan He1
1Ningxia Key Laboratory of Clinical and Pathogenic Microbiology Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Orthopaedic surgery
|August 21, 2025
概括
人工智能显著改善了关节整形手术前的规划. 与传统方法相比,人工智能提高了准确性,减少了手术时间和血液损失,改善了患者的治疗结果.
科学领域:
- 骨科手术
- 医疗人工智能
背景情况:
- 人工智能 (AI) 越来越多地被用于骨科,在关节整形术 (THA) 中取得了早期进展.
- 人工智能在THA手术前规划中的作用仍在调查中,有限且不一致的研究结果阻碍了临床共识.
研究的目的:
- 探索人工智能在手术前规划方面的最新进展.
- 在优化THA手术策略方面识别AI的独特优势.
主要方法:
- 在PubMed,Embase,Web of Science和Cochrane图书馆进行全面的文献搜索,截至2025年4月23日.
- 使用修订后的Cochrane偏差风险工具和纽卡斯尔-太华尺度进行质量评估.
- 基于异质性的随机效应或固定效应模型的元分析 (I2 > 50%).
主要成果:
- 人工智能显示出优异的骨和股骨匹配精度 (OR=0.24).
- AI显著降低了手术后腿长度差异 (MD=1. 02),手术时间 (MD=12. 18分钟) 和手术内血流 (MD=-50. 82毫升).
- 人工智能改善了手术后的哈里斯部分数 (MD=1.42),研究质量普遍很高.
结论:
- 人工智能支持的THA手术前规划提供了更精确的手术指导.
- 在THA规划中使用人工智能可以有效地减轻手术风险并提高手术成功率.
- 人工智能对THA手术前计划的传统方法来说是一个显著的进步.
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