人工智能技术在病理性近视诊断与病情监测中的应用现状  

Application of artificial intelligence technology in the diagnosis and monitoring of pathological myopia

作　　者：于楚瑶 董力[1] 魏文斌[1] Yu Chuyao;Dong Li;Wei Wenbin(Beijing Tongren Eye Center,Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment,Beijing Ophthalmology&Visual Sciences Key Lab,Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology,Beijing Tongren Hospital,Capital Medical University,Beijing 100730,China)

机构地区：[1]首都医科大学附属北京同仁医院、北京同仁眼科中心、眼内肿瘤诊治研究北京市重点实验室、北京市眼科学与视觉科学重点实验室、医学人工智能研究与验证工信部重点实验室,北京100730

出　　处：《中国医学前沿杂志（电子版）》2023年第6期15-20,共6页Chinese Journal of the Frontiers of Medical Science(Electronic Version)

基　　金：北京市科委科技计划项目(Z201100005520045,Z181100001818003)。

摘　　要：随着人工智能(artificial intelligence,AI)技术在医疗领域的广泛应用,将AI技术与病理性近视(pathological myopia,PM)相结合的研究逐渐成为热点。在诊断分级标准和量化分割技术的基础上,通过深度学习算法重点对眼底相片、光学相干断层扫描等影像信息进行分析,实现了PM的早期筛查、识别诊断和监测的试验性效益。本文主要对近年来AI技术在PM领域取得的研究成果进行综述,并探讨其临床诊断与病情监测的应用价值。With the widespread application of artificial intelligence(AI)technology in the medical field,researches on combination between pathological myopia and AI has steadily drawn greater attention.Based on diagnostic grading standards and quantitative segmentation techniques,deep learning algorithms concentrate on analyzing image data,such as fundus photographs and optical coherence tomography,have produced experimental benefits including early-stage identification,diagnosis,and monitoring for pathological myopia.This article will highlight the research advance on AI assistant diagnosis and conditional monitoring in the area of pathological myopia.

关 键 词：人工智能 病理性近视 

分 类 号：R778.11[医药卫生—眼科]