A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture-Reference-Cited by-同舟云学术

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A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture

Published:2024-01-01 Issue:1 Volume:310 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Kim Yisak^ORCID,Kim Young-Gon^ORCID,Park Jung-Wee^ORCID,Kim Byung Woo^ORCID,Shin Youmin^ORCID,Kong Sung Hye^ORCID,Kim Jung Hee,Lee Young-Kyun^ORCID,Kim Sang Wan^ORCID,Shin Chan Soo

Funder

National Research Foundation of Korea

Seoul National University Bundang Hospital

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.230614

Reference22 articles.

1. Health service use pathways associated with recovery of quality of life at 12-months for individual fracture sites: Analyses of the International Costs and Utilities Related to Osteoporotic fractures Study (ICUROS)

2. Osteoporosis and Osteoporotic Fracture Fact Sheet in Korea

3. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures

4. Characteristics of recurrent fractures

5. The effect on subsequent fracture risk of age, sex, and prior fracture site by recency of prior fracture

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Personalizing Short-term Fracture Prevention After Hip Fracture: CT-based AI Risk Stratification;Radiology;2024-01-01

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