Application of a deep learning algorithm in the detection of hip fractures

Application of a deep learning algorithm in the detection of hip fractures

Summary: This paper describes the development of a deep learning model for prediction of hip fractures on pelvic radiographs (X-rays). Developed using over 40,000 pelvic radiographs from a single institution, the model demonstrated high sensitivity and specificity when applied to a test set of emerg...

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Bibliographic Details
Main Authors: Yan Gao, Nicholas Yock Teck Soh, Nan Liu, Gilbert Lim, Daniel Ting, Lionel Tim-Ee Cheng, Kang Min Wong, Charlene Liew, Hong Choon Oh, Jin Rong Tan, Narayan Venkataraman, Siang Hiong Goh, Yet Yen Yan
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:iScience
Subjects:
Computational bioinformatics
Imaging anatomy
Musculoskeletal anatomy
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422301427X

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http://www.sciencedirect.com/science/article/pii/S258900422301427X

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