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

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 emergency depa...

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Detalles Bibliográficos
Autores principales: Gao, Yan, Soh, Nicholas Yock Teck, Liu, Nan, Lim, Gilbert, Ting, Daniel, Cheng, Lionel Tim-Ee, Wong, Kang Min, Liew, Charlene, Oh, Hong Choon, Tan, Jin Rong, Venkataraman, Narayan, Goh, Siang Hiong, Yan, Yet Yen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404720/
https://www.ncbi.nlm.nih.gov/pubmed/37554447
http://dx.doi.org/10.1016/j.isci.2023.107350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404720/
https://www.ncbi.nlm.nih.gov/pubmed/37554447
http://dx.doi.org/10.1016/j.isci.2023.107350

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