Research progress on application of artificial intelligence in pediatric ophthalmology
10.3980/j.issn.1672-5123.2020.8.14
- VernacularTitle:人工智能在小儿眼科领域的应用研究进展
- Author:
Biao Li
1
,
2
Author Information
1. Department of Ophthalmology, the First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China
2. Co-first authors:Biao Li and Ya-Jun Ding
- Publication Type:Review
- Keywords:
artificial intelligence;
machine learning;
automatically detect;
pediatric ophthalmology;
ophthalmic diseases
- From:
International Eye Science
2020;20(8):1363-1366
- CountryChina
- Language:Chinese
-
Abstract:
In recent years, artificial intelligence(AI)technology has developed rapidly, and its practice and application in the medical field have brought new possibilities to the development of the medical industry. In the field of general ophthalmology, AI technology based on machine learning(ML)has greatly improved the efficiency of diagnosis, but less progress has been made in pediatric ophthalmology. At present, AI technology has been applied to the automatic detection of retinopathy of prematurity(ROP), pediatric cataracts, inspection of strabismus and refractive error, prediction of high myopia in the future, diagnosis of dyslexia through eye tracking and research of ophthalmic images. This article reviews the current status, progress, and future development of AI in pediatric ophthalmology.
- Full text:202008014.pdf
