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Heart, Eye, and Artificial Intelligence: A Review

Heart disease continues to be the leading cause of death in the USA. Deep learning-based artificial intelligence (AI) methods have become increasingly common in studying the various factors involved in cardiovascular disease. The usage of retinal scanning techniques to diagnose retinal diseases, suc...

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Detalles Bibliográficos
Autores principales: Gupta, Kush, Reddy, Sarath
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elmer Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139752/
https://www.ncbi.nlm.nih.gov/pubmed/34046105
http://dx.doi.org/10.14740/cr1179
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author Gupta, Kush
Reddy, Sarath
author_facet Gupta, Kush
Reddy, Sarath
author_sort Gupta, Kush
collection PubMed
description Heart disease continues to be the leading cause of death in the USA. Deep learning-based artificial intelligence (AI) methods have become increasingly common in studying the various factors involved in cardiovascular disease. The usage of retinal scanning techniques to diagnose retinal diseases, such as diabetic retinopathy, age-related macular degeneration, glaucoma and others, using fundus photographs and optical coherence tomography angiography (OCTA) has been extensively documented. Researchers are now looking to combine the power of AI with the non-invasive ease of retinal scanning to examine the workings of the heart and predict changes in the macrovasculature based on microvascular features and function. In this review, we summarize the current state of the field in using retinal imaging to diagnose cardiovascular issues and other diseases.
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spelling pubmed-81397522021-05-26 Heart, Eye, and Artificial Intelligence: A Review Gupta, Kush Reddy, Sarath Cardiol Res Review Heart disease continues to be the leading cause of death in the USA. Deep learning-based artificial intelligence (AI) methods have become increasingly common in studying the various factors involved in cardiovascular disease. The usage of retinal scanning techniques to diagnose retinal diseases, such as diabetic retinopathy, age-related macular degeneration, glaucoma and others, using fundus photographs and optical coherence tomography angiography (OCTA) has been extensively documented. Researchers are now looking to combine the power of AI with the non-invasive ease of retinal scanning to examine the workings of the heart and predict changes in the macrovasculature based on microvascular features and function. In this review, we summarize the current state of the field in using retinal imaging to diagnose cardiovascular issues and other diseases. Elmer Press 2021-06 2021-05-14 /pmc/articles/PMC8139752/ /pubmed/34046105 http://dx.doi.org/10.14740/cr1179 Text en Copyright 2021, Gupta et al. https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Non-Commercial 4.0 International License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Gupta, Kush
Reddy, Sarath
Heart, Eye, and Artificial Intelligence: A Review
title Heart, Eye, and Artificial Intelligence: A Review
title_full Heart, Eye, and Artificial Intelligence: A Review
title_fullStr Heart, Eye, and Artificial Intelligence: A Review
title_full_unstemmed Heart, Eye, and Artificial Intelligence: A Review
title_short Heart, Eye, and Artificial Intelligence: A Review
title_sort heart, eye, and artificial intelligence: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8139752/
https://www.ncbi.nlm.nih.gov/pubmed/34046105
http://dx.doi.org/10.14740/cr1179
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