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Artificial intelligence: the unstoppable revolution in ophthalmology
Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of our society as part of the revolution being brought into our lives (and into medicine) by the digital era, and accelerated by the current COVID-19 pandemic. As the population ages and developing countrie...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757817/ https://www.ncbi.nlm.nih.gov/pubmed/33741420 http://dx.doi.org/10.1016/j.survophthal.2021.03.003 |
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author | Benet, David Pellicer-Valero, Oscar J. |
author_facet | Benet, David Pellicer-Valero, Oscar J. |
author_sort | Benet, David |
collection | PubMed |
description | Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of our society as part of the revolution being brought into our lives (and into medicine) by the digital era, and accelerated by the current COVID-19 pandemic. As the population ages and developing countries move forward, AI-based systems may be a key asset in streamlining the screening, staging, and treatment planning of sight-threatening eye conditions, offloading the most tedious tasks from the experts, allowing for a greater population coverage, and bringing the best possible care to every patient. This paper presents a review of the state of the art of AI in the field of ophthalmology, focusing on the strengths and weaknesses of current systems, and defining the vision that will enable us to advance scientifically in this digital era. It starts with a thorough yet accessible introduction to the algorithms underlying all modern AI applications. Then, a critical review of the main AI applications in ophthalmology is presented, including diabetic retinopathy, age-related macular degeneration, retinopathy of prematurity, glaucoma, and other AI-related topics such as image enhancement. The review finishes with a brief discussion on the opportunities and challenges that the future of this field might hold. |
format | Online Article Text |
id | pubmed-9757817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97578172022-12-19 Artificial intelligence: the unstoppable revolution in ophthalmology Benet, David Pellicer-Valero, Oscar J. Surv Ophthalmol Review Article Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of our society as part of the revolution being brought into our lives (and into medicine) by the digital era, and accelerated by the current COVID-19 pandemic. As the population ages and developing countries move forward, AI-based systems may be a key asset in streamlining the screening, staging, and treatment planning of sight-threatening eye conditions, offloading the most tedious tasks from the experts, allowing for a greater population coverage, and bringing the best possible care to every patient. This paper presents a review of the state of the art of AI in the field of ophthalmology, focusing on the strengths and weaknesses of current systems, and defining the vision that will enable us to advance scientifically in this digital era. It starts with a thorough yet accessible introduction to the algorithms underlying all modern AI applications. Then, a critical review of the main AI applications in ophthalmology is presented, including diabetic retinopathy, age-related macular degeneration, retinopathy of prematurity, glaucoma, and other AI-related topics such as image enhancement. The review finishes with a brief discussion on the opportunities and challenges that the future of this field might hold. Elsevier Inc. 2022 2021-03-16 /pmc/articles/PMC9757817/ /pubmed/33741420 http://dx.doi.org/10.1016/j.survophthal.2021.03.003 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Review Article Benet, David Pellicer-Valero, Oscar J. Artificial intelligence: the unstoppable revolution in ophthalmology |
title | Artificial intelligence: the unstoppable revolution in ophthalmology |
title_full | Artificial intelligence: the unstoppable revolution in ophthalmology |
title_fullStr | Artificial intelligence: the unstoppable revolution in ophthalmology |
title_full_unstemmed | Artificial intelligence: the unstoppable revolution in ophthalmology |
title_short | Artificial intelligence: the unstoppable revolution in ophthalmology |
title_sort | artificial intelligence: the unstoppable revolution in ophthalmology |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9757817/ https://www.ncbi.nlm.nih.gov/pubmed/33741420 http://dx.doi.org/10.1016/j.survophthal.2021.03.003 |
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