希尔-RBF 3.0与其他眼内透镜功率计算方法的预测精度:系统性审查和元分析
Xiaole Li1, Ronald Cheung2, Manav Nayeni3
1Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
|February 6, 2026
概括
希尔-辐射基函数 (Hill-RBF) 3.0公式在预测眼内透镜 (IOL) 计算的折射目标时显示出更好的准确性. 这种基于人工智能的配方提高了眼科手术结果和患者护理.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
- 生物医学工程 生物医学工程
背景情况:
- 人工智能 (AI) 在眼科中越来越多地被采用,以改善患者护理.
- 准确的折射目标预测对于白内障手术后成功植入眼内透镜 (IOL) 至关重要.
- 希尔-半径基函数 (Hill-RBF) 3.0公式是一种基于AI的新型工具,用于IOL功率计算.
研究的目的:
- 系统地审查和元分析Hill-RBF 3.0公式的预测性能.
- 将Hill-RBF 3.0与传统和其他基于AI的IOL功率计算公式进行比较.
- 评估Hill-RBF 3.0对眼科手术中折射结果的影响.
主要方法:
- 进行了系统审查和元分析.
- 在EMBASE,MEDLINE,CINAHL和Web of Science中进行了搜索.
- 包括比较Hill-RBF 3.0与至少一个其他IOL配方的研究,评估特定二光子范围内的平均绝对误差 (MAE) 和折射结果.
主要成果:
- 与Haigis,Holladay-1和SRK/T配方相比,Hill-RBF 3.0的MAE显著较低.
- 在±0.50 D范围内实现术后折射的几率在Hill-RBF 3.0与Haigis,Hoffer Q,Holladay-1和SRK/T相比显著更高.
- 希尔-RBF 3.0也在±0.25 D的范围内超过了这些传统公式,除了Holladay-1.
结论:
- 希尔-RBF 3.0公式为IOL功率计算提供了同等或更高的预测准确度.
- 它的实施可以增强临床工作流程,并改善白内障手术中的折射结果.
- 这一进步有助于改善眼科患者的整体护理.
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