Artificial Intelligence Meets Neuro-Ophthalmology. Issue 2 (March 2022)

• Record Type: Journal Article
• Authors: Leong, Yuan-Yuh; Vasseneix, Caroline; Finkelstein, Maxwell Toan; Milea, Dan; Najjar, Raymond P.
• Is Part Of: Asia-Pacific journal of ophthalmology. Volume 11:Issue 2(2022)
• Page Start: 111
• Page End: 125
• Publication Date: 2022-03
• Subjects: artificial intelligence -- deep learning -- eye movement disorders -- neuro-ophthalmology -- optic nerve head diseases; Ophthalmology -- Periodicals; Eye -- Diseases -- Periodicals; Periodicals; 617.7005
• DOI: 10.1097/APO.0000000000000512
• Languages: English
• ISSNs: 0129-1653

Abstract

Abstract : Abstract: 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.