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在高度近视患者中,使用人工智能和传统公式计算眼内透镜功率公式的准确性进行比较:一项元分析

Yuxu Hao¹, Jin Fu¹, Jin Huang¹

¹School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, No. 270, Xueyuan Road, Wenzhou, 325000, Zhejiang, China.

International ophthalmology

|June 21, 2024

概括

凯恩公式是一种人工智能驱动的工具,与传统方法相比,在高近视患者的眼内透镜 (IOL) 功率计算方面表现出卓越的准确性. 这一进步为这组患者的白内障手术提供了更好的结果.

科学领域:

眼科医生眼科眼科
医疗技术医疗技术医学技术
人工智能的人工智能

背景情况:

准确的眼内镜 (IOL) 功率计算对于成功的白内障手术至关重要.
高度近视的患者面临着独特的挑战,通常会导致标准公式的计算错误更大.
人工智能 (AI) 的进步导致了新的IOL计算公式的开发.

研究的目的:

在高度近视患者中评估基于AI的IOL计算公式的准确性.
为了比较几个AI和传统IOL计算公式的性能.

主要方法:

在PubMed,EMBASE和Cochrane图书馆进行了系统的文献搜索,直到2023年8月.
六种IOL计算公式进行了比较:Kane,Hill-RBF,EVO,Barrett II,Haigis,以及SRK/T. 这三种计算公式均被使用.
关键指标包括平均绝对误差 (MAE) 和 ±0.25 D, ±0.50 D 和 ±1.00 D 内的误差百分比.

主要成果:

与巴雷特II,SRK/T和Haigis配方相比,凯恩配方显示了明显较低的MAE.
凯恩表明,与SRK/T和Haigis相比,在±0.25 D,±0.50 D和±1.00 D范围内,折射预测误差的百分比明显高.
与SRK/T和Haigis相比,Hill-RBF也显示出显著的改善,与Barrett II相比没有显著差异.

结论:

与传统方法相比,人工智能驱动的IOL计算公式为高度近视患者提供了更高的准确性.
在这个患者队列中,凯恩公式在IOL功率计算的评估公式中表现最好.
这些发现表明,人工智能配方,特别是凯恩,是优化高度近视个体白内障手术结果的宝贵工具.

关键词:

人工智能的人工智能是人工智能.白内障是什么?白内障是什么?白内障是什么?高近视是指高近视的情况.在IOL计算过程中,IOL计算方法是:

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