国际眼科纵览 ›› 2024, Vol. 48 ›› Issue (2): 99-103.doi: 10.3760/ cma.j.issn.1673-5803.2024.02.004

• 综述 • 上一篇    下一篇

人工智能在斜视与小儿眼科中的应用

王子健1,2 甘小林张璐郭长梅2   

  1. 1 延安大学医学院,陕西延安 716000; 2 空军军医大学西京医院眼科 全军眼科研究所, 西安 710032;3 延安大学附属医院眼科,陕西延安 716000
  • 收稿日期:2023-09-04 出版日期:2024-04-22 发布日期:2024-04-29
  • 通讯作者: 郭长梅,Email: gcm2@163.com
  • 基金资助:
     2023年医务人员技术提升项目(2023XJSY29);西京医院学科助推计划多学科综合诊疗项目(XJZT19MDT12);陕西省自然科学基础研究计划重点项目(2021JZ-30)

Application of artificial intelligence in strabismus and pediatric ophthalmology

Wang Zijian1,2, Gan Xiaolin3, Zhang Lu2, Guo Changmei2   

  1. 1 Medical College of Yan’an University, Yan’an Shaanxi 716000, China; 2 Department of Ophthalmology, Xijing Hospital, Eye institute of Chinese PLA, Fourth Military Medical University, Xi’an 710032, China;3 Department of Ophthalmology, Yan’an University Affiliated Hospital, Yan’an Shaanxi 716000, China
  • Received:2023-09-04 Online:2024-04-22 Published:2024-04-29
  • Contact: Guo Changmei, Email: gcm2@163.com
  • Supported by:
     2023 Medical Staff Technology Upgrading Project (2023XJSY29); Xijing Hospital Discipline Promotion Plan and Multidisciplinary Comprehensive Diagnosis and Treatment Project (XJZT19MDT12); Shaanxi Province Natural Science Basic Research Program Key Project (2021JZ-30)

摘要: 人工智能技术在斜视与小儿眼科领域发展迅速。在筛检斜视、辅助间歇性外斜视手术时机选择、以及辅助手术量的设计决策中表现出较高的准确度。还可对早产儿视网膜病变分期分区进行严重程度评估,辅助先天性白内障诊断和全程管理,进行近视防控的预后预测,弱视的早期初步筛查以实现早期干预,还可应用于视网膜母细胞瘤的诊断和分类等。(国际眼科纵览,2024, 48:99-103)

关键词: 人工智能, 斜视, 小儿眼科

Abstract: Artificial intelligence technology is developing rapidly in the field of strabismus and pediatric ophthalmology. It shows high accuracy in the selection of screening strabismus, the timing of auxiliary intermittent exotropia surgery, and the design of auxiliary surgery volume. It can also be used to assess the severity of retinopathy of prematurity, assist the diagnosis and whole-course management of congenital cataract, predict the prognosis of myopia prevention and control, and screen amblyopia early to achieve intervention  early.  In addition, it can be applied to the diagnosis and classification of retinoblastoma. (Int Rev Ophthalmol, 2024, 48: 99-103)

Key words: artificial intelligence, strabismus, pediatric ophthalmology