福建师范大学学报（自然科学版）2025，Vol.41Issue(6)：24-33,10.DOI:10.12046/j.issn.1000-5277.2024120027
人工智能在圆锥角膜诊断中的应用
The Application of Artificial Intelligence Technology in the Diagnosis of Keratoconus
摘要
Abstract
Keratoconus,a primary corneal ectatic disease commonly observed in adolescents,has garnered considerable attention due to its progressive visual impairment.With the rapid develop-ment of artificial intelligence(AI)technology,AI has demonstrated tremendous potential in the di-agnosis of keratoconus in ophthalmology.This paper explores recent scientific advances in AI appli-cations for keratoconus diagnosis,encompassing technological innovations such as deep learning and machine learning in the analysis of corneal topography and optical coherence tomography(OCT)im-ages.Notably,deep learning models based on convolutional neural networks(CNN)have signifi-cantly enhanced diagnostic automation and precision,effectively capturing subtle changes in corneal morphology.This holds great significance for early identification and treatment decisions regarding keratoconus,providing a scientific foundation and future direction for integrating AI into clinical ophthalmic practice.关键词
圆锥角膜/角膜/人工智能/深度学习/机器学习/诊断Key words
keratoconus/cornea/artificial intelligence/deep learning/machine learning/diagnosis分类
信息技术与安全科学引用本文复制引用
曾淑敏,叶锋,李志锐,林文,黄添强..人工智能在圆锥角膜诊断中的应用[J].福建师范大学学报（自然科学版）,2025,41(6):24-33,10.基金项目
福建省科技创新战略研究联合计划项目(2023R0156) （2023R0156）
福建省教育科学规划2024年教育考试招生重点专项课题(FJJKKS24-28) （FJJKKS24-28）
福厦泉国家自主创新示范区协同创新平台项目(2023-P-003) （2023-P-003）
