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The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review
Artificial intelligence (AI) is a subset of computer science dealing with the development and training of algorithms that try to replicate human intelligence. We report a clinical overview of the basic principles of AI that are fundamental to appreciating its application to ophthalmology practice. H...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437147/ https://www.ncbi.nlm.nih.gov/pubmed/34527682 http://dx.doi.org/10.3389/fmed.2021.710329 |
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author | Nuzzi, Raffaele Boscia, Giacomo Marolo, Paola Ricardi, Federico |
author_facet | Nuzzi, Raffaele Boscia, Giacomo Marolo, Paola Ricardi, Federico |
author_sort | Nuzzi, Raffaele |
collection | PubMed |
description | Artificial intelligence (AI) is a subset of computer science dealing with the development and training of algorithms that try to replicate human intelligence. We report a clinical overview of the basic principles of AI that are fundamental to appreciating its application to ophthalmology practice. Here, we review the most common eye diseases, focusing on some of the potential challenges and limitations emerging with the development and application of this new technology into ophthalmology. |
format | Online Article Text |
id | pubmed-8437147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84371472021-09-14 The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review Nuzzi, Raffaele Boscia, Giacomo Marolo, Paola Ricardi, Federico Front Med (Lausanne) Medicine Artificial intelligence (AI) is a subset of computer science dealing with the development and training of algorithms that try to replicate human intelligence. We report a clinical overview of the basic principles of AI that are fundamental to appreciating its application to ophthalmology practice. Here, we review the most common eye diseases, focusing on some of the potential challenges and limitations emerging with the development and application of this new technology into ophthalmology. Frontiers Media S.A. 2021-08-30 /pmc/articles/PMC8437147/ /pubmed/34527682 http://dx.doi.org/10.3389/fmed.2021.710329 Text en Copyright © 2021 Nuzzi, Boscia, Marolo and Ricardi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Nuzzi, Raffaele Boscia, Giacomo Marolo, Paola Ricardi, Federico The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review |
title | The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review |
title_full | The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review |
title_fullStr | The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review |
title_full_unstemmed | The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review |
title_short | The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review |
title_sort | impact of artificial intelligence and deep learning in eye diseases: a review |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437147/ https://www.ncbi.nlm.nih.gov/pubmed/34527682 http://dx.doi.org/10.3389/fmed.2021.710329 |
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