摘要
圆锥角膜是一种高发于青少年的致盲性角膜疾病,早期诊疗可有效减少疾病晚期造成的视力损害并改善其预后。基于机器学习和深度学习的人工智能(AI)在圆锥角膜领域的研究主要包括圆锥角膜的早期筛查诊断和严重度分级、圆锥角膜进展预测及术后疗效预测等。文章总结近年常见的AI在圆锥角膜中的主要应用研究进展,并对其面临的挑战与未来前景进行展望。
Keratoconus is a blinding corneal disease that is particularly prevalent among adolescents.Early diagnosis and treatment can significantly reduce visual impairment in advanced stages and improve its prognosis.Based on machine learning and deep learning in keratoconus,Artificial intelligence(AI)mainly involves early screening and diagnosis,severity grading,progression prediction,and outcomes prediction.In this paper,the main applications and research progress of AI in keratoconus in recent years were summarized,and the challenges and future prospects in this field were discussed.
作者
周煜
曾庆延
Zhou Yu;Zeng Qingyan(Eye Center,Renmin Hospital of Wuhan University,Wuhan 430060,Hubei Province,China;Department of Ocular Surface,Aier Eye Hospital Affiliated to Wuhan University,Wuhan 430060,Hubei Province,China;School of Stomatology and Opthalmology,Xianning Medical College,Hubei University of Science and Technology,Xianning 437000,Hubei Province,China)
出处
《国际眼科杂志》
CAS
2024年第7期1078-1083,共6页
International Eye Science
基金
爱尔眼科医院集团临床研究所科研基金项目(No.AR2204D1)
爱尔眼科医院集团科研基金项目(No.AF2204D04,AF2104D9)。
关键词
圆锥角膜
人工智能
机器学习
深度学习
keratoconus
artificial intelligence
machine learning
deep learning
