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

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 th...

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Detalles Bibliográficos
Autores principales: Padhy, Srikanta Kumar, Takkar, Brijesh, Chawla, Rohan, Kumar, Atul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611318/
https://www.ncbi.nlm.nih.gov/pubmed/31238395
http://dx.doi.org/10.4103/ijo.IJO_1989_18
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author Padhy, Srikanta Kumar
Takkar, Brijesh
Chawla, Rohan
Kumar, Atul
author_facet Padhy, Srikanta Kumar
Takkar, Brijesh
Chawla, Rohan
Kumar, Atul
author_sort Padhy, Srikanta Kumar
collection PubMed
description 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.
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spelling pubmed-66113182019-07-22 Artificial intelligence in diabetic retinopathy: A natural step to the future Padhy, Srikanta Kumar Takkar, Brijesh Chawla, Rohan Kumar, Atul Indian J Ophthalmol Review Article 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. Wolters Kluwer - Medknow 2019-07 /pmc/articles/PMC6611318/ /pubmed/31238395 http://dx.doi.org/10.4103/ijo.IJO_1989_18 Text en Copyright: © 2019 Indian Journal of Ophthalmology http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Review Article
Padhy, Srikanta Kumar
Takkar, Brijesh
Chawla, Rohan
Kumar, Atul
Artificial intelligence in diabetic retinopathy: A natural step to the future
title Artificial intelligence in diabetic retinopathy: A natural step to the future
title_full Artificial intelligence in diabetic retinopathy: A natural step to the future
title_fullStr Artificial intelligence in diabetic retinopathy: A natural step to the future
title_full_unstemmed Artificial intelligence in diabetic retinopathy: A natural step to the future
title_short Artificial intelligence in diabetic retinopathy: A natural step to the future
title_sort artificial intelligence in diabetic retinopathy: a natural step to the future
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6611318/
https://www.ncbi.nlm.nih.gov/pubmed/31238395
http://dx.doi.org/10.4103/ijo.IJO_1989_18
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