Radiographic Findings Associated With Mild Hip Dysplasia in 3869 Patients Using a Deep Learning Measurement Tool

• Published in: Arthroplasty today Vol. 28; p. 101398
• Main Authors: Jang, Seong Jun, Driscoll, Daniel A., Anderson, Christopher G., Sokrab, Ruba, Flevas, Dimitrios A., Mayman, David J., Vigdorchik, Jonathan M., Jerabek, Seth A., Sculco, Peter K.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.08.2024; Elsevier
• Subjects: Artificial intelligence; Deep learning; Hip dysplasia; Original Research; Osteoarthritis; Deep learning; Hip dysplasia; Artificial intelligence; Osteoarthritis

Hip dysplasia is considered one of the leading etiologies contributing to hip degeneration and the eventual need for total hip arthroplasty (THA). We validated a deep learning (DL) algorithm to measure angles relevant to hip dysplasia and applied this algorithm to determine the prevalence of dysplas...