Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence

Deep learning, for its powerful learning capability and high usability, has been a prevalent algorithm of machine learning and a core technique for artificial intelligence(AI) in medicine and healthcare. Due to the importance of medical imaging in many tasks such as health screening, disease diagnos...

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Autor principal:	LI Xirong
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Medical Journal of Peking Union Medical College Hospital 2021
Materias:	multi-modal deep learning ophthalmology artificial intelligence assisted diagnosis Medicine R
Acceso en línea:	https://doaj.org/article/2854f5daa7c242c39c24278415d183f7
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spelling	oai:doaj.org-article:2854f5daa7c242c39c24278415d183f72021-12-01T01:43:39ZMulti-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence1674-908110.12290/xhyxzz.2021-0500https://doaj.org/article/2854f5daa7c242c39c24278415d183f72021-10-01T00:00:00Zhttps://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2021-0500https://doaj.org/toc/1674-9081Deep learning, for its powerful learning capability and high usability, has been a prevalent algorithm of machine learning and a core technique for artificial intelligence(AI) in medicine and healthcare. Due to the importance of medical imaging in many tasks such as health screening, disease diagnosis, precise treatment, and prognosis prediction, deep learning of structural analysis and semantic understanding for medical images is becoming an important interdisciplinary research direction. In clinical scenarios, in order to achieve a more accurate diagnosis, doctors need to simultaneously refer to multiple modalities of medical imaging for a comprehensive analysis and judgment. This article introduced the basic concepts and working principles of multimodal deep learning in such scenarios, reviewed recent research progress on applying multi-modal deep learning in both generic medical fields and ophthalmology, and discussed technical challenges and also envision potential applications of multi-modal deep learning in AI-assisted ophthalmology.LI XirongEditorial Office of Medical Journal of Peking Union Medical College Hospitalarticlemulti-modal deep learningophthalmologyartificial intelligenceassisted diagnosisMedicineRZHXiehe Yixue Zazhi, Vol 12, Iss 5, Pp 602-607 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	multi-modal deep learning ophthalmology artificial intelligence assisted diagnosis Medicine R
spellingShingle	multi-modal deep learning ophthalmology artificial intelligence assisted diagnosis Medicine R LI Xirong Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
description	Deep learning, for its powerful learning capability and high usability, has been a prevalent algorithm of machine learning and a core technique for artificial intelligence(AI) in medicine and healthcare. Due to the importance of medical imaging in many tasks such as health screening, disease diagnosis, precise treatment, and prognosis prediction, deep learning of structural analysis and semantic understanding for medical images is becoming an important interdisciplinary research direction. In clinical scenarios, in order to achieve a more accurate diagnosis, doctors need to simultaneously refer to multiple modalities of medical imaging for a comprehensive analysis and judgment. This article introduced the basic concepts and working principles of multimodal deep learning in such scenarios, reviewed recent research progress on applying multi-modal deep learning in both generic medical fields and ophthalmology, and discussed technical challenges and also envision potential applications of multi-modal deep learning in AI-assisted ophthalmology.
format	article
author	LI Xirong
author_facet	LI Xirong
author_sort	LI Xirong
title	Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
title_short	Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
title_full	Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
title_fullStr	Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
title_full_unstemmed	Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence
title_sort	multi-modal deep learning and its applications in ophthalmic artificial intelligence
publisher	Editorial Office of Medical Journal of Peking Union Medical College Hospital
publishDate	2021
url	https://doaj.org/article/2854f5daa7c242c39c24278415d183f7
work_keys_str_mv	AT lixirong multimodaldeeplearninganditsapplicationsinophthalmicartificialintelligence
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Multi-modal Deep Learning and Its Applications in Ophthalmic Artificial Intelligence

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