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Applications of Artificial Intelligence in Myopia: Current and Future Directions
With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more wides...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962670/ https://www.ncbi.nlm.nih.gov/pubmed/35360739 http://dx.doi.org/10.3389/fmed.2022.840498 |
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author | Zhang, Chenchen Zhao, Jing Zhu, Zhe Li, Yanxia Li, Ke Wang, Yuanping Zheng, Yajuan |
author_facet | Zhang, Chenchen Zhao, Jing Zhu, Zhe Li, Yanxia Li, Ke Wang, Yuanping Zheng, Yajuan |
author_sort | Zhang, Chenchen |
collection | PubMed |
description | With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more widespread. As one of the main causes of visual impairment, myopia has a high global prevalence. Early screening or diagnosis of myopia, combined with other effective therapeutic interventions, is very important to maintain a patient's visual function and quality of life. Through the training of fundus photography, optical coherence tomography, and slit lamp images and through platforms provided by telemedicine, AI shows great application potential in the detection, diagnosis, progression prediction and treatment of myopia. In addition, AI models and wearable devices based on other forms of data also perform well in the behavioral intervention of myopia patients. Admittedly, there are still some challenges in the practical application of AI in myopia, such as the standardization of datasets; acceptance attitudes of users; and ethical, legal and regulatory issues. This paper reviews the clinical application status, potential challenges and future directions of AI in myopia and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction for myopia management in the post-COVID-19 period. |
format | Online Article Text |
id | pubmed-8962670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89626702022-03-30 Applications of Artificial Intelligence in Myopia: Current and Future Directions Zhang, Chenchen Zhao, Jing Zhu, Zhe Li, Yanxia Li, Ke Wang, Yuanping Zheng, Yajuan Front Med (Lausanne) Medicine With the continuous development of computer technology, big data acquisition and imaging methods, the application of artificial intelligence (AI) in medical fields is expanding. The use of machine learning and deep learning in the diagnosis and treatment of ophthalmic diseases is becoming more widespread. As one of the main causes of visual impairment, myopia has a high global prevalence. Early screening or diagnosis of myopia, combined with other effective therapeutic interventions, is very important to maintain a patient's visual function and quality of life. Through the training of fundus photography, optical coherence tomography, and slit lamp images and through platforms provided by telemedicine, AI shows great application potential in the detection, diagnosis, progression prediction and treatment of myopia. In addition, AI models and wearable devices based on other forms of data also perform well in the behavioral intervention of myopia patients. Admittedly, there are still some challenges in the practical application of AI in myopia, such as the standardization of datasets; acceptance attitudes of users; and ethical, legal and regulatory issues. This paper reviews the clinical application status, potential challenges and future directions of AI in myopia and proposes that the establishment of an AI-integrated telemedicine platform will be a new direction for myopia management in the post-COVID-19 period. Frontiers Media S.A. 2022-03-11 /pmc/articles/PMC8962670/ /pubmed/35360739 http://dx.doi.org/10.3389/fmed.2022.840498 Text en Copyright © 2022 Zhang, Zhao, Zhu, Li, Li, Wang and Zheng. 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 Zhang, Chenchen Zhao, Jing Zhu, Zhe Li, Yanxia Li, Ke Wang, Yuanping Zheng, Yajuan Applications of Artificial Intelligence in Myopia: Current and Future Directions |
title | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
title_full | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
title_fullStr | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
title_full_unstemmed | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
title_short | Applications of Artificial Intelligence in Myopia: Current and Future Directions |
title_sort | applications of artificial intelligence in myopia: current and future directions |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8962670/ https://www.ncbi.nlm.nih.gov/pubmed/35360739 http://dx.doi.org/10.3389/fmed.2022.840498 |
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