Master clinical medical knowledge at certificated-doctor-level with deep learning model

AI is used increasingly in medical diagnostics. Here, the authors present a deep learning model that masters medical knowledge, demonstrated by it having passed the written test of the 2017 National Medical Licensing Examination in China, and can provide help with clinical diagnosis based on electro...

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Detalles Bibliográficos
Autores principales:	Ji Wu, Xien Liu, Xiao Zhang, Zhiyang He, Ping Lv
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/69a871f13ce54fbfb63ea1764d625e24
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:69a871f13ce54fbfb63ea1764d625e242021-12-02T17:31:16ZMaster clinical medical knowledge at certificated-doctor-level with deep learning model10.1038/s41467-018-06799-62041-1723https://doaj.org/article/69a871f13ce54fbfb63ea1764d625e242018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06799-6https://doaj.org/toc/2041-1723AI is used increasingly in medical diagnostics. Here, the authors present a deep learning model that masters medical knowledge, demonstrated by it having passed the written test of the 2017 National Medical Licensing Examination in China, and can provide help with clinical diagnosis based on electronic health care records.Ji WuXien LiuXiao ZhangZhiyang HePing LvNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ji Wu Xien Liu Xiao Zhang Zhiyang He Ping Lv Master clinical medical knowledge at certificated-doctor-level with deep learning model
description	AI is used increasingly in medical diagnostics. Here, the authors present a deep learning model that masters medical knowledge, demonstrated by it having passed the written test of the 2017 National Medical Licensing Examination in China, and can provide help with clinical diagnosis based on electronic health care records.
format	article
author	Ji Wu Xien Liu Xiao Zhang Zhiyang He Ping Lv
author_facet	Ji Wu Xien Liu Xiao Zhang Zhiyang He Ping Lv
author_sort	Ji Wu
title	Master clinical medical knowledge at certificated-doctor-level with deep learning model
title_short	Master clinical medical knowledge at certificated-doctor-level with deep learning model
title_full	Master clinical medical knowledge at certificated-doctor-level with deep learning model
title_fullStr	Master clinical medical knowledge at certificated-doctor-level with deep learning model
title_full_unstemmed	Master clinical medical knowledge at certificated-doctor-level with deep learning model
title_sort	master clinical medical knowledge at certificated-doctor-level with deep learning model
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/69a871f13ce54fbfb63ea1764d625e24
work_keys_str_mv	AT jiwu masterclinicalmedicalknowledgeatcertificateddoctorlevelwithdeeplearningmodel AT xienliu masterclinicalmedicalknowledgeatcertificateddoctorlevelwithdeeplearningmodel AT xiaozhang masterclinicalmedicalknowledgeatcertificateddoctorlevelwithdeeplearningmodel AT zhiyanghe masterclinicalmedicalknowledgeatcertificateddoctorlevelwithdeeplearningmodel AT pinglv masterclinicalmedicalknowledgeatcertificateddoctorlevelwithdeeplearningmodel
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Master clinical medical knowledge at certificated-doctor-level with deep learning model

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