Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications

Artificial intelligence (AI) technology is promising in the field of healthcare. With the developments of big data and image-based analysis, AI shows potential value in ophthalmology applications. Recently, machine learning and deep learning algorithms have made significant progress. Emerging eviden...

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Detalles Bibliográficos
Autores principales: Xu, Zhe, Xu, Jia, Shi, Ce, Xu, Wen, Jin, Xiuming, Han, Wei, Jin, Kai, Grzybowski, Andrzej, Yao, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164195/
https://www.ncbi.nlm.nih.gov/pubmed/36884203
http://dx.doi.org/10.1007/s40123-023-00690-4
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author Xu, Zhe
Xu, Jia
Shi, Ce
Xu, Wen
Jin, Xiuming
Han, Wei
Jin, Kai
Grzybowski, Andrzej
Yao, Ke
author_facet Xu, Zhe
Xu, Jia
Shi, Ce
Xu, Wen
Jin, Xiuming
Han, Wei
Jin, Kai
Grzybowski, Andrzej
Yao, Ke
author_sort Xu, Zhe
collection PubMed
description Artificial intelligence (AI) technology is promising in the field of healthcare. With the developments of big data and image-based analysis, AI shows potential value in ophthalmology applications. Recently, machine learning and deep learning algorithms have made significant progress. Emerging evidence has demonstrated the capability of AI in the diagnosis and management of anterior segment diseases. In this review, we provide an overview of AI applications and potential future applications in anterior segment diseases, focusing on cornea, refractive surgery, cataract, anterior chamber angle detection, and refractive error prediction.
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spelling pubmed-101641952023-05-08 Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications Xu, Zhe Xu, Jia Shi, Ce Xu, Wen Jin, Xiuming Han, Wei Jin, Kai Grzybowski, Andrzej Yao, Ke Ophthalmol Ther Review Artificial intelligence (AI) technology is promising in the field of healthcare. With the developments of big data and image-based analysis, AI shows potential value in ophthalmology applications. Recently, machine learning and deep learning algorithms have made significant progress. Emerging evidence has demonstrated the capability of AI in the diagnosis and management of anterior segment diseases. In this review, we provide an overview of AI applications and potential future applications in anterior segment diseases, focusing on cornea, refractive surgery, cataract, anterior chamber angle detection, and refractive error prediction. Springer Healthcare 2023-03-08 2023-06 /pmc/articles/PMC10164195/ /pubmed/36884203 http://dx.doi.org/10.1007/s40123-023-00690-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review
Xu, Zhe
Xu, Jia
Shi, Ce
Xu, Wen
Jin, Xiuming
Han, Wei
Jin, Kai
Grzybowski, Andrzej
Yao, Ke
Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
title Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
title_full Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
title_fullStr Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
title_full_unstemmed Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
title_short Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
title_sort artificial intelligence for anterior segment diseases: a review of potential developments and clinical applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164195/
https://www.ncbi.nlm.nih.gov/pubmed/36884203
http://dx.doi.org/10.1007/s40123-023-00690-4
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