Everything real about unreal artificial intelligence in diabetic retinopathy and in ocular pathologies

Autor: Arvind Kumar, Morya, Siddharam S, Janti, Priya, Sisodiya, Antervedi, Tejaswini, Rajendra, Prasad, Kalpana R, Mali, Bharat, Gurnani
Rok vydání: 2022
Předmět:
Zdroj: World Journal of Diabetes. 13:822-834
ISSN: 1948-9358
DOI: 10.4239/wjd.v13.i10.822
Popis: Artificial Intelligence is a multidisciplinary field with the aim of building platforms that can make machines act, perceive, reason intelligently and whose goal is to automate activities that presently require human intelligence. From the cornea to the retina, artificial intelligence (AI) is expected to help ophthalmologists diagnose and treat ocular diseases. In ophthalmology, computerized analytics are being viewed as efficient and more objective ways to interpret the series of images and come to a conclusion. AI can be used to diagnose and grade diabetic retinopathy, glaucoma, age-related macular degeneration, cataracts, IOL power calculation, retinopathy of prematurity and keratoconus. This review article intends to discuss various aspects of artificial intelligence in ophthalmology.
Databáze: OpenAIRE