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Artificial intelligence in ophthalmology: The path to the real-world clinic

Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing staff to serve more patients, improving patient outcomes, and reducing health disparities. In the field of ophthalmology, AI systems have shown perform...

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Detalles Bibliográficos
Autores principales: Li, Zhongwen, Wang, Lei, Wu, Xuefang, Jiang, Jiewei, Qiang, Wei, Xie, He, Zhou, Hongjian, Wu, Shanjun, Shao, Yi, Chen, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394169/
https://www.ncbi.nlm.nih.gov/pubmed/37385253
http://dx.doi.org/10.1016/j.xcrm.2023.101095
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author Li, Zhongwen
Wang, Lei
Wu, Xuefang
Jiang, Jiewei
Qiang, Wei
Xie, He
Zhou, Hongjian
Wu, Shanjun
Shao, Yi
Chen, Wei
author_facet Li, Zhongwen
Wang, Lei
Wu, Xuefang
Jiang, Jiewei
Qiang, Wei
Xie, He
Zhou, Hongjian
Wu, Shanjun
Shao, Yi
Chen, Wei
author_sort Li, Zhongwen
collection PubMed
description Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing staff to serve more patients, improving patient outcomes, and reducing health disparities. In the field of ophthalmology, AI systems have shown performance comparable with or even better than experienced ophthalmologists in tasks such as diabetic retinopathy detection and grading. However, despite these quite good results, very few AI systems have been deployed in real-world clinical settings, challenging the true value of these systems. This review provides an overview of the current main AI applications in ophthalmology, describes the challenges that need to be overcome prior to clinical implementation of the AI systems, and discusses the strategies that may pave the way to the clinical translation of these systems.
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spelling pubmed-103941692023-08-03 Artificial intelligence in ophthalmology: The path to the real-world clinic Li, Zhongwen Wang, Lei Wu, Xuefang Jiang, Jiewei Qiang, Wei Xie, He Zhou, Hongjian Wu, Shanjun Shao, Yi Chen, Wei Cell Rep Med Review Artificial intelligence (AI) has great potential to transform healthcare by enhancing the workflow and productivity of clinicians, enabling existing staff to serve more patients, improving patient outcomes, and reducing health disparities. In the field of ophthalmology, AI systems have shown performance comparable with or even better than experienced ophthalmologists in tasks such as diabetic retinopathy detection and grading. However, despite these quite good results, very few AI systems have been deployed in real-world clinical settings, challenging the true value of these systems. This review provides an overview of the current main AI applications in ophthalmology, describes the challenges that need to be overcome prior to clinical implementation of the AI systems, and discusses the strategies that may pave the way to the clinical translation of these systems. Elsevier 2023-06-28 /pmc/articles/PMC10394169/ /pubmed/37385253 http://dx.doi.org/10.1016/j.xcrm.2023.101095 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review
Li, Zhongwen
Wang, Lei
Wu, Xuefang
Jiang, Jiewei
Qiang, Wei
Xie, He
Zhou, Hongjian
Wu, Shanjun
Shao, Yi
Chen, Wei
Artificial intelligence in ophthalmology: The path to the real-world clinic
title Artificial intelligence in ophthalmology: The path to the real-world clinic
title_full Artificial intelligence in ophthalmology: The path to the real-world clinic
title_fullStr Artificial intelligence in ophthalmology: The path to the real-world clinic
title_full_unstemmed Artificial intelligence in ophthalmology: The path to the real-world clinic
title_short Artificial intelligence in ophthalmology: The path to the real-world clinic
title_sort artificial intelligence in ophthalmology: the path to the real-world clinic
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394169/
https://www.ncbi.nlm.nih.gov/pubmed/37385253
http://dx.doi.org/10.1016/j.xcrm.2023.101095
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