Application of artificial intelligence in ophthalmology

被引:55
作者
Du, Xue-Li [1 ]
Li, Wen-Bo [1 ]
Hu, Bo-Jie [1 ]
机构
[1] Tianjin Med Univ, Eye Hosp, 251 Fukang Rd, Tianjin 300384, Peoples R China
关键词
artificial intelligence; deep learning; machine learning; images processing; ophthalmology; RETINAL VEIN OCCLUSION; DIABETIC-RETINOPATHY; RISK-FACTORS; MACULAR DEGENERATION; AUTOMATED DETECTION; VISUAL IMPAIRMENT; EYE DISEASES; PLUS DISEASE; PREMATURITY; DIAGNOSIS;
D O I
10.18240/ijo.2018.09.21
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Artificial intelligence is a general term that means to accomplish a task mainly by a computer, with the least human beings participation, and it is widely accepted as the invention of robots. With the development of this new technology, artificial intelligence has been one of the most influential information technology revolutions. We searched these English-language studies relative to ophthalmology published on PubMed and Springer databases. The application of artificial intelligence in ophthalmology mainly concentrates on the diseases with a high incidence, such as diabetic retinopathy, age-related macular degeneration, glaucoma, retinopathy of prematurity, age-related or congenital cataract and few with retinal vein occlusion. According to the above studies, we conclude that the sensitivity of detection and accuracy for proliferative diabetic retinopathy ranged from 75% to 91.7%, for non-proliferative diabetic retinopathy ranged from 75% to 94.7%, for age-related macular degeneration it ranged from 75% to 100%, for retinopathy of prematurity ranged over 95%, for retinal vein occlusion just one study reported ranged over 97%, for glaucoma ranged 63.7% to 93.1%, and for cataract it achieved a more than 70% similarity against clinical grading.
引用
收藏
页码:1555 / 1561
页数:7
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