An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians

An automated hip fracture detection, classification system on pelvic radiographs and comparison with 35 clinicians

Abstract Accurate diagnosis of orthopedic injuries, especially pelvic and hip fractures, is vital in trauma management. While pelvic radiographs (PXRs) are widely used, misdiagnosis is common. This study proposes an automated system that uses convolutional neural networks (CNNs) to detect potential...

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Bibliographic Details
Main Authors: Abdurrahim Yilmaz, Kadir Gem, Mucahit Kalebasi, Rahmetullah Varol, Zuhtu Oner Gencoglan, Yegor Samoylenko, Hakan Koray Tosyali, Guvenir Okcu, Huseyin Uvet
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Pelvis X-ray
Hip fractures
Automated fracture detection
Online Access:https://doi.org/10.1038/s41598-025-98852-w
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https://doi.org/10.1038/s41598-025-98852-w

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