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Review
. 2019 Jul;67(7):1004-1009.
doi: 10.4103/ijo.IJO_1989_18.

Artificial intelligence in diabetic retinopathy: A natural step to the future

Srikanta Kumar Padhy  1 , Brijesh Takkar  1 , Rohan Chawla  1 , Atul Kumar  1
Affiliations
Review

Artificial intelligence in diabetic retinopathy: A natural step to the future

Srikanta Kumar Padhy et al. Indian J Ophthalmol. 2019 Jul.

Abstract

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.

Keywords: Artificial intelligence; IDx-DR; fundus image; screening.

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Conflict of interest statement

None

Figures

Flow Chart 1
Flow Chart 1
Depiction of how machine learning works?
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