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预测基于人工智能的9个眼内透镜功率计算公式在长高加索眼中

Wiktor Stopyra¹, Oleksiy Voytsekhivskyy², Andrzej Grzybowski³

¹MW-med Eye Center, 31-416 Krakow, Poland.

American journal of ophthalmology

|February 18, 2026

概括

这项研究比较了九种人工智能 (AI) 公式,用于长眼 (轴长>26毫米) 中的眼内透镜 (IOL) 功率计算. 珍珠-DGS,Hill-RBF 3.0,凯恩和霍弗QST显示了IOL功率预测的最高准确度.

科学领域:

眼科医生眼科眼科
医疗技术医疗技术医学技术
医疗保健中的人工智能

背景情况:

精确的眼内镜 (IOL) 功率计算对于在白内障手术后实现最佳视觉结果至关重要.
长轴长度 (AL>26毫米) 的眼睛对传统的IOL功率计算公式构成独特的挑战.
评估基于人工智能的先进公式对于改善这些具有挑战性的眼睛的折射可预测性至关重要.

研究的目的:

为了比较基于人工智能 (AI) 的九种新眼内透镜 (IOL) 功率计算公式的准确性.
评估配方性能,特别是在轴长大于26毫米的眼睛中.

主要方法:

一个回顾性分析的321只眼睛与AL≥26.00毫米谁接受了白内障手术.
使用9种AI公式计算IOL功率: 3C 2.0,Hill-RBF 3.0,Hoffer QST,Kane,Karmona,Ladas超级公式AI (LSF AI),Nallasamy,PEARL-DGS,以及朱-卢. 这三种AI公式被用来计算.
使用根平均平方绝对误差 (RMSAE),中位数绝对误差 (MedAE) 和预测误差在±0.50 D.以内的眼睛百分比来评估准确性.

主要成果:

除卡尔莫纳外,所有公式都显示出统计上优于朱鲁和RMSAE的3C 2.0.
珍珠-DGS,山-RBF 3.0,和凯恩在统计学上表现得更好MedAE相比3C 2.0和朱-Lu.
珍珠-DGS (80.06%),希尔-RBF 3.0 (77.57%) 和凯恩 (77.26%) 的精度明显高 (在±0.50 D PE范围内) 比朱鲁 (66.67%) 和3C 2.0 (68.85%).

结论:

珍珠-DGS,Hill-RBF 3.0,凯恩和霍弗QST是基于AI的高精度公式,用于长眼 (AL>26毫米) 的IOL功率计算.
这些公式在这个具有挑战性的患者队列中,与较旧的方法相比,提供了更好的折射可预测性.
这项研究强调了先进的人工智能算法在优化白内障手术结果方面的潜力.

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?眼内镜片眼内镜片眼内镜片长长的眼睛长长的眼睛

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