[关键词]
[摘要]
角膜塑形镜作为青少年近视防控的有效手段，其验配精度与随访效能直接影响疗效。传统流程依赖医师主观经验，存在适配一致性差及疗效评估量化不足等瓶颈。近年来，人工智能在医学图像分析领域取得突破性进展，为角膜塑形镜的验配提供了新选择。文章对Pubmed及Web of Science近年来机器学习在角膜塑形镜验配中的应用及研究进展进行总结，希望为未来研究提供参考。
[Key word]
[Abstract]
Orthokeratology is an effective intervention for myopia control in adolescents,and the precision of lens fitting and the efficacy of follow-up monitoring directly influence treatment outcomes.The conventional fitting process depends largely on physicians' subjective experience,which leads to bottlenecks such as poor consistency in lens fitting and insufficient quantitative evaluation of therapeutic effects.In recent years,artificial intelligence has achieved groundbreaking progress in the field of medical image analysis,offering new options for the fitting of orthokeratology lenses.This article reviews the application and research advances of machine learning in orthokeratology lens fitting as reported in recent publications indexed in PubMed and Web of Science,aiming to provide a reference for future research.
[中图分类号]
[基金项目]
成都中医药大学“杏林学者”学科人才科研提升计划(No.ZYTS2023028)
