使用角膜拓结果的人工智能辅助的安装方法提高了正视镜镜片安装成功率
Xueyi Zhou1, Li Zeng1, Yang Shen1
1Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China; NHC Key laboratory of Myopia and Related Eye Diseases, Key Laboratory of Myopia and Related Eye Diseases, Chinese Academy of Medical Sciences, Shanghai, 200031, China; Shanghai Research Center of Ophthalmology and Optometry, Shanghai 200031, China; Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care (20DZ2255000), China.
概括
人工智能 (AI) 显著提高了光透镜的正确性. 与传统方法相比,人工智能辅助角膜折射疗法 (CRT) 透镜参数预测的差异较小,精度更高.
科学领域:
- 眼科医生 眼科 眼科
- 生物医学工程 生物医学工程
- 人工智能的人工智能
背景情况:
- 脊椎病理学 (OK) 和角膜折射疗法 (CRT) 是视力校正的已知方法.
- 精确的镜头配合对于成功的OK/CRT结果至关重要.
- 当前的镜头安装方法在精度上可能有局限性.
研究的目的:
- 开发和评估一种创新的机器学习算法,用于人工智能辅助的OK镜头.
- 调查AI在预测CRT镜头参数方面的精度.
- 将人工智能预测与传统的镜头安装方法进行比较.
主要方法:
- 追溯分析797只装有CRT镜头的眼睛.
- 开发包括各种角膜和折射参数的综合和简化AI模型.
- 将AI预测的镜头参数与制造商的传统安装方法进行比较.
主要成果:
- 人工智能预测的参数与最终订购的参数没有显著差异.
- 人工智能模型与最终订购的镜头参数 (例如,BCR 0.958,RZD2 0.773) 显示出强烈的相关性.
- 与传统方法相比,人工智能对RZD2,LZA1和TD的相关系数更高.
结论:
- 人工智能预测的镜头参数呈现出较小的差异和更高的准确性.
- 人工智能辅助的安装有可能提高CRT OK镜头安装的效率和精度.
- 这种人工智能方法在个性化眼镜镜设计方面提供了有前途的进步.
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