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Artificial intelligence technology for myopia challenges: A review
Myopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887165/ https://www.ncbi.nlm.nih.gov/pubmed/36733459 http://dx.doi.org/10.3389/fcell.2023.1124005 |
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author | Zhang, Juzhao Zou, Haidong |
author_facet | Zhang, Juzhao Zou, Haidong |
author_sort | Zhang, Juzhao |
collection | PubMed |
description | Myopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image and data analysis and has been introduced to address challenges in the clinical practice of many ocular diseases. AI research in myopia is still in its early stages. Understanding the strengths and limitations of each AI method in specific tasks of myopia could be of great value and might help us to choose appropriate approaches for different tasks. This article reviews and elaborates on the technical details of AI methods applied for myopia risk prediction, screening and diagnosis, pathogenesis, and treatment. |
format | Online Article Text |
id | pubmed-9887165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98871652023-02-01 Artificial intelligence technology for myopia challenges: A review Zhang, Juzhao Zou, Haidong Front Cell Dev Biol Cell and Developmental Biology Myopia is a significant global health concern and affects human visual function, resulting in blurred vision at a distance. There are still many unsolved challenges in this field that require the help of new technologies. Currently, artificial intelligence (AI) technology is dominating medical image and data analysis and has been introduced to address challenges in the clinical practice of many ocular diseases. AI research in myopia is still in its early stages. Understanding the strengths and limitations of each AI method in specific tasks of myopia could be of great value and might help us to choose appropriate approaches for different tasks. This article reviews and elaborates on the technical details of AI methods applied for myopia risk prediction, screening and diagnosis, pathogenesis, and treatment. Frontiers Media S.A. 2023-01-17 /pmc/articles/PMC9887165/ /pubmed/36733459 http://dx.doi.org/10.3389/fcell.2023.1124005 Text en Copyright © 2023 Zhang and Zou. 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 | Cell and Developmental Biology Zhang, Juzhao Zou, Haidong Artificial intelligence technology for myopia challenges: A review |
title | Artificial intelligence technology for myopia challenges: A review |
title_full | Artificial intelligence technology for myopia challenges: A review |
title_fullStr | Artificial intelligence technology for myopia challenges: A review |
title_full_unstemmed | Artificial intelligence technology for myopia challenges: A review |
title_short | Artificial intelligence technology for myopia challenges: A review |
title_sort | artificial intelligence technology for myopia challenges: a review |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887165/ https://www.ncbi.nlm.nih.gov/pubmed/36733459 http://dx.doi.org/10.3389/fcell.2023.1124005 |
work_keys_str_mv | AT zhangjuzhao artificialintelligencetechnologyformyopiachallengesareview AT zouhaidong artificialintelligencetechnologyformyopiachallengesareview |