LING Qian,XIAO Yichen,SHAO Yi.Application of artificial intelligence in the diagnosis of pediatric eye diseases[J].Recent Advances in Ophthalmology,2024,44(6):487-493.[doi:10.13389/j.cnki.rao.2024.0094]





Application of artificial intelligence in the diagnosis of pediatric eye diseases
330006 江西省南昌市,南昌大学第一附属医院眼科(令倩,邵毅);200031 上海市,复旦大学附属眼耳鼻喉科医院眼科(肖轶尘)
LING Qian1XIAO Yichen2SHAO Yi1
1.Department of Ophthalmology, the First Affiliated Hospital of Nanchang University,Nanchang 330006,Jiangxi Province, China
2.Department of Ophthalmology, Eye & ENT Hospital of Fudan University, Shanghai 200031,China
artificial intelligence machine learning children ophthalmology
Artificial intelligence (AI) has made major strides in ophthalmology in recent years. Yet, its application in resolving children’s ocular problems has received limited attention. The automated detection system for retinopathy of prematurity has achieved expert-level accuracy in diagnosis. AI has been applied to categorize cataract abnormalities in children, forecast postoperative complications of cataracts, predict the progression of high myopia, and automatically detect strabismus and refractive error. Additionally, AI has also been utilized in visual development research, segmentation of vascular development in children’s fundus images, and the synthesis of ophthalmic images. Applying AI technologies in pediatric ophthalmology can greatly enhance the accuracy of disease diagnosis and the efficiency of treatment and improve clinical care. This article reviews the application, shortcomings and future development of AI in the diagnosis of retinopathy of prematurity, dyslexia in children, pediatric vision screening, amblyopia, strabismus, ametropia, and childhood cataracts.


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更新日期/Last Update: 2024-06-05