Artificial Intelligence Meets Neuro-Ophthalmology

被引：18

作者：

Leong, Yuan-Yuh ^{[1
]}

Vasseneix, Caroline ^{[2
,3
]}

Finkelstein, Maxwell Toan ^{[2
]}

Milea, Dan ^{[1
,2
,3
]}

Najjar, Raymond P. ^{[2
,3
,4
]}

机构：

[1] Singapore Natl Eye Ctr, Singapore, Singapore

[2] Singapore Eye Res Inst, Singapore, Singapore

[3] Duke NUS Med Sch, 20 Coll Rd,Level 6, Singapore 169856, Singapore

[4] Natl Univ Singapore, Yong Loo Lin Sch Med, Dept Ophthalmol, 20 Coll Rd,Level 6, Singapore 169856, Singapore

来源：

ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY | 2022年 / 11卷 / 02期

基金：

英国医学研究理事会;

关键词：

artificial intelligence; deep learning; eye movement disorders; neuro-ophthalmology; optic nerve head diseases; OPTIC-NERVE HEAD; OCULAR FUNDUS PHOTOGRAPHY; VERTICAL STRABISMUS; AUTOMATED-ANALYSIS; VISUAL-ACUITY; DISEASE; CLASSIFICATION; PAPILLEDEMA; PREDICTION; DIAGNOSIS;

D O I：

10.1097/APO.0000000000000512

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

Recent advances in artificial intelligence have provided ophthalmologists with fast, accurate, and automated means for diagnosing and treating ocular conditions, paving the way to a modern and scalable eye care system. Compared to other ophthalmic disciplines, neuro-ophthalmology has, until recently, not benefitted from significant advances in the area of artificial intelligence. In this narrative review, we summarize and discuss recent advancements utilizing artificial intelligence for the detection of structural and functional optic nerve head abnormalities, and ocular movement disorders in neuro-ophthalmology.

引用

页码：111 / 125

页数：15

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