In rural areas, Distal Radius Fractures (DRF) remain neglected leading to deformed and painful wrists mainly because of the non-availability of Orthopaedicians. Our objective was to develop an artificial intelligence-based web tool which can assist in diagnosis and guide the treatment of distal radius fractures. A Deep Convoluted Neural Network (DCNN) model was developed for the diagnosis of DRF. The goal of this work was to develop an artificial intelligence system that can learn to utilize X-ray pictures to correctly diagnose distal radius fractures with a small amount of information. Labelling assessments with fractures and overlaying fracture masks generated images that may be used for testing and training segmentation and classification methods. The DCNN model analyzed DRF based on three views: lateral, anteroposterior, and combined lateral and anteroposterior views. The experimental outcomes demonstrate that the recommended model increases the classification accuracy rate of 99.3%, sensitivity rate of 96.5%, specificity rate of 97.8%, and F1-score rate of 95.6% and reduces the error rate of 11.2% compared to other popular approaches.

Arthroscopic Outerbridge-Kashiwagi Procedure with Endoscopic Cubital Tunnel Release: Comparison with Arthroscopic Osteocapsular Arthroplasty with Open Cubital Tunnel Release ePoster Presentation Jaesung Yoo, MD, PhD, Prof., KOREA, REPUBLIC OF
Dynamometric Testing of Index Finger Distal Phalanx Flexion Strength Endurance Yields Diagnostic Potential for Lacertus Syndrome in Recreational Athletes ePoster Presentation Theodorakys Marín Fermín, MD, VENEZUELA
The Impact of Antileukemic Treatment on Joint Osteonecrosis in Adolescents with Acute Lymphoblastic Leukemia ePoster Presentation Bojana Aleksic, MD, SERBIA Vladan Stevanovic, MD, PhD, SERBIA
Failure of Subcutaneous Ulnar Nerve Transposition: Clinical Evidence ePoster Presentation Domenico Rodà, MD, ITALY Andrea Celli, MD, ITALY Federico Martinelli, MD, ITALY Luigi Celli, PhD, ITALY
Retrospective Cohort Study on Early Mobilization and Functional Outcomes after Lucl Repair with Internal Bracing in Elbow Dislocations and Fracture-dislocations ePoster Presentation Nikolaos Platon Sachinis, MD, PhD, GREECE Alexandros Konstantinopoulos, MD, GREECE Nikiforos Galanis, MD, PhD, GREECE Panagiotis Givissis, MD, PhD, GREECE

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Automatic Distal Radius Fracture Detection and Classification Using Deep Convolutional Neural Network with Radiological Images

Automatic Distal Radius Fracture Detection and Classification Using Deep Convolutional Neural Network with Radiological Images

More Elbow, Wrist & Hand ePosters

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Automatic Distal Radius Fracture Detection and Classification Using Deep Convolutional Neural Network with Radiological Images

Automatic Distal Radius Fracture Detection and Classification Using Deep Convolutional Neural Network with Radiological Images

More Elbow, Wrist & Hand ePosters

Arthroscopic Outerbridge-Kashiwagi Procedure with Endoscopic Cubital Tunnel Release: Comparison with Arthroscopic Osteocapsular Arthroplasty with Open Cubital Tunnel Release

Dynamometric Testing of Index Finger Distal Phalanx Flexion Strength Endurance Yields Diagnostic Potential for Lacertus Syndrome in Recreational Athletes

The Impact of Antileukemic Treatment on Joint Osteonecrosis in Adolescents with Acute Lymphoblastic Leukemia

Failure of Subcutaneous Ulnar Nerve Transposition: Clinical Evidence

Retrospective Cohort Study on Early Mobilization and Functional Outcomes after Lucl Repair with Internal Bracing in Elbow Dislocations and Fracture-dislocations

More 2025 ISAKOS Congress Content