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A Meaningful Journey to Predict Fractures with Deep Learning.

作者信息

Ha Jeonghoon

机构信息

Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.

出版信息

Endocrinol Metab (Seoul). 2022 Aug;37(4):617-619. doi: 10.3803/EnM.2022.403. Epub 2022 Aug 29.

DOI:10.3803/EnM.2022.403
PMID:36065645
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9449114/
Abstract
摘要

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本文引用的文献

1
Development of a Spine X-Ray-Based Fracture Prediction Model Using a Deep Learning Algorithm.基于深度学习算法的 X 射线脊柱骨折预测模型的开发。
Endocrinol Metab (Seoul). 2022 Aug;37(4):674-683. doi: 10.3803/EnM.2022.1461. Epub 2022 Aug 5.
2
UK clinical guideline for the prevention and treatment of osteoporosis.英国临床骨质疏松症预防和治疗指南。
Arch Osteoporos. 2022 Apr 5;17(1):58. doi: 10.1007/s11657-022-01061-5.
3
10-Year Fracture Risk in Postmenopausal Women with Osteopenia and Osteoporosis in South Korea.韩国绝经后低骨量和骨质疏松症女性的 10 年骨折风险。
Endocrinol Metab (Seoul). 2021 Dec;36(6):1178-1188. doi: 10.3803/EnM.2021.1215. Epub 2021 Dec 16.
4
DXA and clinical challenges of fracture risk assessment in primary care.双能X线吸收法与基层医疗中骨折风险评估的临床挑战。
Cleve Clin J Med. 2021 Nov 2;88(11):615-622. doi: 10.3949/ccjm.88a.20199.
5
Automated Vertebral Segmentation and Measurement of Vertebral Compression Ratio Based on Deep Learning in X-Ray Images.基于深度学习的 X 射线图像中自动椎体分割和椎体压缩比测量。
J Digit Imaging. 2021 Aug;34(4):853-861. doi: 10.1007/s10278-021-00471-0. Epub 2021 Jul 8.
6
A deep learning algorithm for automated measurement of vertebral body compression from X-ray images.一种基于深度学习的 X 射线图像自动测量椎体压缩程度的算法。
Sci Rep. 2021 Jul 2;11(1):13732. doi: 10.1038/s41598-021-93017-x.
7
Added Value of Deep Learning-based Detection System for Multiple Major Findings on Chest Radiographs: A Randomized Crossover Study.深度学习检测系统对胸部 X 线片中多个主要发现的增值作用:一项随机交叉研究。
Radiology. 2021 May;299(2):450-459. doi: 10.1148/radiol.2021202818. Epub 2021 Mar 23.
8
Osteoporosis and Osteoporotic Fracture Fact Sheet in Korea.韩国骨质疏松症及骨质疏松性骨折情况说明书
J Bone Metab. 2020 Nov;27(4):281-290. doi: 10.11005/jbm.2020.27.4.281. Epub 2020 Nov 30.
9
A Novel Fracture Prediction Model Using Machine Learning in a Community-Based Cohort.一种基于社区队列使用机器学习的新型骨折预测模型。
JBMR Plus. 2020 Feb 10;4(3):e10337. doi: 10.1002/jbm4.10337. eCollection 2020 Mar.
10
The impact of fragility fracture and approaches to osteoporosis risk assessment worldwide.脆性骨折的影响及全球骨质疏松风险评估方法。
Bone. 2017 Nov;104:29-38. doi: 10.1016/j.bone.2017.01.024. Epub 2017 Jan 22.