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Use of offline artificial intelligence in a smartphone-based fundus camera for community screening of diabetic retinopathy
Author(s) -
Apurva Jain,
Radhika Krishnan,
Ashwini Rogye,
Sundaram Natarajan
Publication year - 2021
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_3808_20
Subject(s) - medicine , fundus (uterus) , diabetic retinopathy , ophthalmology , artificial intelligence , fundus camera , retinopathy , posterior pole , optometry , diabetes mellitus , retinal , ophthalmoscopy , computer science , endocrinology
The aim of the study was to analyse the reliability of an offline artificial intelligence (AI) algorithm for community screening of diabetic retinopathy.

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