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

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

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Summary: This paper describes the development of a deep learning model for prediction rainier fabrics 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 department radiographs.This study approximates the real-world application of a deep learning fracture detection model by including radiographs with sub-optimal image quality, other non-hip fractures, and metallic implants, which were excluded t jazelle bracelet from prior published work.The study also explores the effect of ethnicity on model performance, as well as the accuracy of visualization algorithm for fracture localization.