Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Here, the authors develop a deep learning model to perform this task, showing human-level performance.

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Autores principales:	Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/95de7da9fa1641daa7bb2a30bce80781
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:95de7da9fa1641daa7bb2a30bce807812021-12-02T15:53:07ZDeep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography10.1038/s41467-021-23235-42041-1723https://doaj.org/article/95de7da9fa1641daa7bb2a30bce807812021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23235-4https://doaj.org/toc/2041-1723Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Here, the authors develop a deep learning model to perform this task, showing human-level performance.Hanqing ChaoHongming ShanFatemeh HomayouniehRamandeep SinghRuhani Doda KheraHengtao GuoTimothy SuGe WangMannudeep K. KalraPingkun YanNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hanqing Chao Hongming Shan Fatemeh Homayounieh Ramandeep Singh Ruhani Doda Khera Hengtao Guo Timothy Su Ge Wang Mannudeep K. Kalra Pingkun Yan Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
description	Low dose computed tomography (LDCT) for lung cancer screening offers an opportunity for simultaneous CVD risk estimation in at-risk patients. Here, the authors develop a deep learning model to perform this task, showing human-level performance.
format	article
author	Hanqing Chao Hongming Shan Fatemeh Homayounieh Ramandeep Singh Ruhani Doda Khera Hengtao Guo Timothy Su Ge Wang Mannudeep K. Kalra Pingkun Yan
author_facet	Hanqing Chao Hongming Shan Fatemeh Homayounieh Ramandeep Singh Ruhani Doda Khera Hengtao Guo Timothy Su Ge Wang Mannudeep K. Kalra Pingkun Yan
author_sort	Hanqing Chao
title	Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
title_short	Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
title_full	Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
title_fullStr	Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
title_full_unstemmed	Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
title_sort	deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/95de7da9fa1641daa7bb2a30bce80781
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Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography

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