Open AccessArtificial intelligence in diabetic retinopathy: A natural step to the future
Author(s) -
Srikanta Kumar Padhy,
Brijesh Takkar,
Rohan Chawla,
Atul Kumar
Publication year - 2019
Publication title -
indian journal of ophthalmology/indian journal of ophthalmology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.542
H-Index - 51
eISSN - 1998-3689
pISSN - 0301-4738
DOI - 10.4103/ijo.ijo_1989_18
Subject(s) - medicine , diabetic retinopathy , retinopathy , retinal disorder , artificial intelligence , intensive care medicine , optometry , retinal , diabetes mellitus , computer science , ophthalmology , endocrinology
Use of artificial intelligence in medicine in an evolving technology which holds promise for mass screening and perhaps may even help in establishing an accurate diagnosis. The ability of complex computing is to perform pattern recognition by creating complex relationships based on input data and then comparing it with performance standards is a big step. Diabetic retinopathy is an ever-increasing problem. Early screening and timely treatment of the same can reduce the burden of sight threatening retinopathy. Any tool which can aid in quick screening of this disorder and minimize requirement of trained human resource for the same would probably be a boon for patients and ophthalmologists. In this review we discuss the current status of use of artificial intelligence in diabetic retinopathy and few other common retinal disorders.