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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

Dual-energy X-ray absorptiometry and the Fracture Risk Assessment Tool are recommended tools for osteoporotic fracture risk evaluation, but are underutilized. Here, the authors present an opportunistic tool to identify fractures, predict bone mineral density and evaluate fracture risk using plain pe...

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Autores principales:	Chen-I Hsieh, Kang Zheng, Chihung Lin, Ling Mei, Le Lu, Weijian Li, Fang-Ping Chen, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Guotong Xie, Jing Xiao, Shun Miao, Chang-Fu Kuo
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/fc208611dd7b451284c2f6c63a709b15
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:fc208611dd7b451284c2f6c63a709b152021-12-02T18:02:16ZAutomated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning10.1038/s41467-021-25779-x2041-1723https://doaj.org/article/fc208611dd7b451284c2f6c63a709b152021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25779-xhttps://doaj.org/toc/2041-1723Dual-energy X-ray absorptiometry and the Fracture Risk Assessment Tool are recommended tools for osteoporotic fracture risk evaluation, but are underutilized. Here, the authors present an opportunistic tool to identify fractures, predict bone mineral density and evaluate fracture risk using plain pelvis and lumbar spine radiographs.Chen-I HsiehKang ZhengChihung LinLing MeiLe LuWeijian LiFang-Ping ChenYirui WangXiaoyun ZhouFakai WangGuotong XieJing XiaoShun MiaoChang-Fu KuoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Chen-I Hsieh Kang Zheng Chihung Lin Ling Mei Le Lu Weijian Li Fang-Ping Chen Yirui Wang Xiaoyun Zhou Fakai Wang Guotong Xie Jing Xiao Shun Miao Chang-Fu Kuo Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
description	Dual-energy X-ray absorptiometry and the Fracture Risk Assessment Tool are recommended tools for osteoporotic fracture risk evaluation, but are underutilized. Here, the authors present an opportunistic tool to identify fractures, predict bone mineral density and evaluate fracture risk using plain pelvis and lumbar spine radiographs.
format	article
author	Chen-I Hsieh Kang Zheng Chihung Lin Ling Mei Le Lu Weijian Li Fang-Ping Chen Yirui Wang Xiaoyun Zhou Fakai Wang Guotong Xie Jing Xiao Shun Miao Chang-Fu Kuo
author_facet	Chen-I Hsieh Kang Zheng Chihung Lin Ling Mei Le Lu Weijian Li Fang-Ping Chen Yirui Wang Xiaoyun Zhou Fakai Wang Guotong Xie Jing Xiao Shun Miao Chang-Fu Kuo
author_sort	Chen-I Hsieh
title	Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
title_short	Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
title_full	Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
title_fullStr	Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
title_full_unstemmed	Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
title_sort	automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fc208611dd7b451284c2f6c63a709b15
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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

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