国际眼科杂志2026，Vol.26Issue(3)：477-482,6.DOI:10.3980/j.issn.1672-5123.2026.3.20
多模态成像联合人工智能在高度近视眼底生物参数中的研究
Multimodal imaging combined with artificial intelligence in the study of ocular biometric parameters in high myopia
刘明慧 1蔡楚盛 2杜绍林2
作者信息
- 1. (523900)中国广东省东莞市滨海湾中心医院眼科
- 2. (523110)中国广东省东莞市,东莞东华医院眼科
- 折叠
摘要
Abstract
High myopia(HM)is one of the leading causes of irreversible visual impairment,characterized by pathological changes such as axial elongation and multidimensional abnormalities in fundus biometric parameters.This review systematically summarizes the dynamic characteristics of fundus biometric parameters(including those of the retina,optic disc,macula,and choroid)in HM patients,as visualized via multimodal imaging techniques[e.g.,optical coherence tomography(OCT)and optical coherence tomography angiography(OCTA)],and their association with HM progression and related complications.The article further highlights the strategies and advantages of multimodal imaging integration and discusses recent advances and challenges in combining artificial intelligence(AI)with these imaging modalities to automate fundus parameter analysis,lesion detection,risk stratification,and clinical decision-making for HM.This review aims to provide an evidence-based foundation for the early warning,precise intervention,and personalized management of HM,thereby facilitating a clinical paradigm shift from"reactive treatment"to"active health management".关键词
高度近视/眼底生物参数/多模态成像/人工智能Key words
high myopia/ocular biometrics/multimodal imaging/artificial intelligence引用本文复制引用
刘明慧,蔡楚盛,杜绍林..多模态成像联合人工智能在高度近视眼底生物参数中的研究[J].国际眼科杂志,2026,26(3):477-482,6.
