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

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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Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Publishing Group 2021-09-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-021-25779-x

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spelling	doaj-fc208611dd7b451284c2f6c63a709b152021-09-19T11:48:41ZengNature Publishing GroupNature Communications2041-17232021-09-011211910.1038/s41467-021-25779-xAutomated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learningChen-I Hsieh0Kang Zheng1Chihung Lin2Ling Mei3Le Lu4Weijian Li5Fang-Ping Chen6Yirui Wang7Xiaoyun Zhou8Fakai Wang9Guotong Xie10Jing Xiao11Shun Miao12Chang-Fu Kuo13Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial HospitalPAII Inc.Center for Artificial Intelligence in Medicine, Chang Gung Memorial HospitalWuhan Hospital of Traditional Chinese MedicinePAII Inc.PAII Inc.Department of Medicine, College of Medicine, Chang Gung University, Kwei-ShanPAII Inc.PAII Inc.PAII Inc.Ping An Insurance (Group) Company of China, Ltd.Ping An Insurance (Group) Company of China, Ltd.PAII Inc.Division of Rheumatology, Allergy and Immunology, Chang Gung Memorial HospitalDual-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.https://doi.org/10.1038/s41467-021-25779-x
collection	DOAJ
language	English
format	Article
sources	DOAJ
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
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2021-09-01
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.
url	https://doi.org/10.1038/s41467-021-25779-x
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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

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