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Applications of Artificial Intelligence in Ophthalmology: General Overview

With the emergence of unmanned plane, autonomous vehicles, face recognition, and language processing, the artificial intelligence (AI) has remarkably revolutionized our lifestyle. Recent studies indicate that AI has astounding potential to perform much better than human beings in some tasks, especia...

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Detalles Bibliográficos
Autores principales: Lu, Wei, Tong, Yan, Yu, Yue, Xing, Yiqiao, Chen, Changzheng, Shen, Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276430/
https://www.ncbi.nlm.nih.gov/pubmed/30581604
http://dx.doi.org/10.1155/2018/5278196
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author Lu, Wei
Tong, Yan
Yu, Yue
Xing, Yiqiao
Chen, Changzheng
Shen, Yin
author_facet Lu, Wei
Tong, Yan
Yu, Yue
Xing, Yiqiao
Chen, Changzheng
Shen, Yin
author_sort Lu, Wei
collection PubMed
description With the emergence of unmanned plane, autonomous vehicles, face recognition, and language processing, the artificial intelligence (AI) has remarkably revolutionized our lifestyle. Recent studies indicate that AI has astounding potential to perform much better than human beings in some tasks, especially in the image recognition field. As the amount of image data in imaging center of ophthalmology is increasing dramatically, analyzing and processing these data is in urgent need. AI has been tried to apply to decipher medical data and has made extraordinary progress in intelligent diagnosis. In this paper, we presented the basic workflow for building an AI model and systematically reviewed applications of AI in the diagnosis of eye diseases. Future work should focus on setting up systematic AI platforms to diagnose general eye diseases based on multimodal data in the real world.
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spelling pubmed-62764302018-12-23 Applications of Artificial Intelligence in Ophthalmology: General Overview Lu, Wei Tong, Yan Yu, Yue Xing, Yiqiao Chen, Changzheng Shen, Yin J Ophthalmol Review Article With the emergence of unmanned plane, autonomous vehicles, face recognition, and language processing, the artificial intelligence (AI) has remarkably revolutionized our lifestyle. Recent studies indicate that AI has astounding potential to perform much better than human beings in some tasks, especially in the image recognition field. As the amount of image data in imaging center of ophthalmology is increasing dramatically, analyzing and processing these data is in urgent need. AI has been tried to apply to decipher medical data and has made extraordinary progress in intelligent diagnosis. In this paper, we presented the basic workflow for building an AI model and systematically reviewed applications of AI in the diagnosis of eye diseases. Future work should focus on setting up systematic AI platforms to diagnose general eye diseases based on multimodal data in the real world. Hindawi 2018-11-19 /pmc/articles/PMC6276430/ /pubmed/30581604 http://dx.doi.org/10.1155/2018/5278196 Text en Copyright © 2018 Wei Lu et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Lu, Wei
Tong, Yan
Yu, Yue
Xing, Yiqiao
Chen, Changzheng
Shen, Yin
Applications of Artificial Intelligence in Ophthalmology: General Overview
title Applications of Artificial Intelligence in Ophthalmology: General Overview
title_full Applications of Artificial Intelligence in Ophthalmology: General Overview
title_fullStr Applications of Artificial Intelligence in Ophthalmology: General Overview
title_full_unstemmed Applications of Artificial Intelligence in Ophthalmology: General Overview
title_short Applications of Artificial Intelligence in Ophthalmology: General Overview
title_sort applications of artificial intelligence in ophthalmology: general overview
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276430/
https://www.ncbi.nlm.nih.gov/pubmed/30581604
http://dx.doi.org/10.1155/2018/5278196
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