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在高度近视眼中对传统和基于人工智能的眼内透镜功率计算公式进行比较评估

Xiaopeng Jiang¹, Jiangjie Wang¹, Qingmin Jiang¹

¹Department of Ophthalmology, Affiliated Hospital of Shandong Second Medical University, 4948 Shengli East Street, Weifang, 261042, China.

BMC ophthalmology

|September 23, 2025

概括

基于人工智能 (AI) 的眼内透镜 (IOL) 功率计算公式,与传统方法相比,在高度近视的眼睛中显示出更高的精度. 这些人工智能公式在不同的轴长度和角膜曲率上提供了更一致的折射预测.

科学领域:

眼科医生眼科眼科
生物医学工程生物医学工程
人工智能在医学中的应用

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折射结果至关重要,特别是在高近视的眼睛中.
传统的IOL功率计算公式可能会在具有极端生物识别参数的眼睛中表现出较低的精度,例如高近视.

研究的目的:

为了比较基于AI的新型IOL功率计算公式与高度近视眼睛的传统方法的准确性.
为了评估这些公式在轴长和角膜曲率的频谱中的性能.

主要方法:

一个追溯的案例系列,包括115个高度近视的眼睛,经过了IOL植入器的发光乳化.
使用四种传统公式 (SRK/T,Haigis,Holladay 2,Barrett Universal II) 和七种基于人工智能的公式 (Hill-RBF 3.0,Karmona,Hoffer QST,PEARL-DGS,Ladas超级公式,Kane,HM-ZL) 来计算IOL功率.
评估结果使用标准偏差 (SD),根-平方平均绝对误差 (RMSAE),平均绝对误差 (MAE) 和特定二极管范围内的预测误差,并根据轴长和角膜曲率进行子组分析.

主要成果:

基于AI的公式,特别是Hill-RBF 3.0,PEARL-DGS和Kane,与传统的Holladay 2公式相比,显示出明显更高的准确性 (较低的MAE).
与Holladay 2相比,Pearl-DGS显示出明显不同的SD.
在长轴长度和中度角膜曲率的子组中,人工智能公式始终产生较低的MAE和在不同生物特征上更稳定的性能.

结论:

与传统方法相比,基于AI的IOL功率计算公式在高度近视的眼睛中提供了卓越的折射预测准确度.
基于个体生物识别资料的个性化配方选择有可能提高白内障手术中的折射结果.

关键词:

人工智能的人工智能是人工智能.高近视是指高近视的情况.IOL功率公式是什么意思眼内透镜是眼内透镜中的一个.预测的准确性预测的准确性

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