Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy
Diabetic Retinopathy (DR) is one of the leading causes of blindness for people who have diabetes in the world. However, early detection of this disease can essentially decrease its effects on the patient. The recent breakthroughs in technologies, including the use of smart health systems based on Ar...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870271/ https://www.ncbi.nlm.nih.gov/pubmed/36712318 http://dx.doi.org/10.1109/OJEMB.2022.3192780 |
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collection | PubMed |
description | Diabetic Retinopathy (DR) is one of the leading causes of blindness for people who have diabetes in the world. However, early detection of this disease can essentially decrease its effects on the patient. The recent breakthroughs in technologies, including the use of smart health systems based on Artificial intelligence, IoT and Blockchain are trying to improve the early diagnosis and treatment of diabetic retinopathy. In this study, we presented an AI-based smart teleopthalmology application for diagnosis of diabetic retinopathy. The app has the ability to facilitate the analyses of eye fundus images via deep learning from the Kaggle database using Tensor Flow mathematical library. The app would be useful in promoting mHealth and timely treatment of diabetic retinopathy by clinicians. With the AI-based application presented in this paper, patients can easily get supports and physicians and researchers can also mine or predict data on diabetic retinopathy and reports generated could assist doctors to determine the level of severity of the disease among the people. |
format | Online Article Text |
id | pubmed-9870271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-98702712023-01-26 Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy IEEE Open J Eng Med Biol Current Trends in Biotechnology in Human Health and Disease Diabetic Retinopathy (DR) is one of the leading causes of blindness for people who have diabetes in the world. However, early detection of this disease can essentially decrease its effects on the patient. The recent breakthroughs in technologies, including the use of smart health systems based on Artificial intelligence, IoT and Blockchain are trying to improve the early diagnosis and treatment of diabetic retinopathy. In this study, we presented an AI-based smart teleopthalmology application for diagnosis of diabetic retinopathy. The app has the ability to facilitate the analyses of eye fundus images via deep learning from the Kaggle database using Tensor Flow mathematical library. The app would be useful in promoting mHealth and timely treatment of diabetic retinopathy by clinicians. With the AI-based application presented in this paper, patients can easily get supports and physicians and researchers can also mine or predict data on diabetic retinopathy and reports generated could assist doctors to determine the level of severity of the disease among the people. IEEE 2022-07-20 /pmc/articles/PMC9870271/ /pubmed/36712318 http://dx.doi.org/10.1109/OJEMB.2022.3192780 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Current Trends in Biotechnology in Human Health and Disease Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy |
title | Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy |
title_full | Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy |
title_fullStr | Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy |
title_full_unstemmed | Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy |
title_short | Artificial Intelligence-Based Teleopthalmology Application for Diagnosis of Diabetics Retinopathy |
title_sort | artificial intelligence-based teleopthalmology application for diagnosis of diabetics retinopathy |
topic | Current Trends in Biotechnology in Human Health and Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870271/ https://www.ncbi.nlm.nih.gov/pubmed/36712318 http://dx.doi.org/10.1109/OJEMB.2022.3192780 |
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