AIMC Topic: Radius Fractures

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Novel artificial intelligence model predicts the need for reduction of distal radius fractures.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Dec 2, 2025
PURPOSE: Distal radius fractures are among the most common upper extremity injuries. While convolutional neural networks (CNNs) have shown promise in fracture detection, no models have specifically addressed the need for reduction, which is a critica...
Neural Networks, Computer Artificial Intelligence Retrospective Studies Female Humans Triage Radiography Radius Fractures Wrist Fractures Aged Adult Male Middle Aged
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Real-time biofeedback monitoring rehabilitation of distal radius fracture.

Journal of neuroengineering and rehabilitation Oct 9, 2025
BACKGROUND: Elderly patients often face challenges in recovering from distal radius fractures (DRFs), and inadequately guided rehabilitation may lead to delayed healing or secondary injury.
Radius Fractures Movement Wrist Fractures Adult Biomechanical Phenomena Male Middle Aged Muscle, Skeletal Biofeedback, Psychology Electromyography Exercise Therapy Humans Machine Learning Female Aged
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Combining radiomics of X-rays with patient functional rating scales for predicting satisfaction after radial fracture fixation: a multimodal machine learning predictive model.

BMC musculoskeletal disorders Sep 30, 2025
BACKGROUND: Patient satisfaction after one year of distal radius fracture fixation is influenced by various aspects such as the surgical approach, the patient's physical functioning, and psychological factors. Hence, a multimodal machine learning pre...
Humans Machine Learning Retrospective Studies Male Middle Aged Follow-Up Studies Fracture Fixation, Internal Female Aged Adult Radiomics Radiography Patient Satisfaction Radius Fractures Fracture Fixation
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Use of artificial intelligence for classification of fractures around the elbow in adults according to the 2018 AO/OTA classification system.

BMC musculoskeletal disorders Sep 9, 2025
BACKGROUND: This study evaluates the accuracy of an Artificial Intelligence (AI) system, specifically a convolutional neural network (CNN), in classifying elbow fractures using the detailed 2018 AO/OTA fracture classification system.
Humeral Fractures Elbow Joint Radius Fractures Ulna Fractures Elbow Injuries Retrospective Studies Female Aged Young Adult Adult Male Middle Aged Radiography Humans Neural Networks, Computer Artificial Intelligence
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Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques.

BMC medical imaging Aug 5, 2025
BACKGROUND: In emergency departments, residents and physicians interpret X-rays to identify fractures, with distal radius fractures being the most common in children. Skilled radiologists typically ensure accurate readings in well-resourced hospitals...
Wrist Fractures Child, Preschool Child Radiographic Image Interpretation, Computer-Assisted Radius Fractures Humans Machine Learning Female Male
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Open-source convolutional neural network to classify distal radial fractures according to the AO/OTA classification on plain radiographs.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Jul 21, 2025
PURPOSE: Convolutional Neural Networks (CNNs) have shown promise in fracture detection, but their ability to improve surgeons' inconsistent fracture classification remains unstudied. Therefore, our aim was create and (externally) validate the perform...
Middle Aged Convolutional Neural Networks Radiography Radius Fractures Humans Female Neural Networks, Computer Aged Algorithms Adult Male
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Individual muscle strengths in rehabilitation outcomes of distal radius fracture.

Journal of neuroengineering and rehabilitation Jun 24, 2025
BACKGROUND: Distal radius fractures (DRFs) are common fracture types and elderly patients often struggle to achieve functional recovery, which could be overcome by precise rehabilitation. This study aims to develop an innovative approach for acquirin...
Middle Aged Muscle Strength Wrist Fractures Female Humans Electromyography Treatment Outcome Neural Networks, Computer Radius Fractures Aged Hand Strength Muscle Strength Dynamometer Adult Muscle, Skeletal Male
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Automatic ultrasound image alignment for diagnosis of pediatric distal forearm fractures.

International journal of computer assisted radiology and surgery May 2, 2025
PURPOSE: The study aims to develop an automatic method to align ultrasound images of the distal forearm for diagnosing pediatric fractures. This approach seeks to bypass the reliance on X-rays for fracture diagnosis, thereby minimizing radiation expo...
Forearm Injuries Wrist Fractures Child Ultrasonography Humans Reproducibility of Results Radius Fractures Female Male Ulna Fractures Deep Learning Child, Preschool
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Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures.

Journal of orthopaedic surgery and research Apr 26, 2025
BACKGROUND: Treatments for distal radius fractures (DRFs) are determined by various factors. Therefore, quantitative or qualitative tools have been introduced to assist in deciding the treatment approach. This study aimed to develop a machine learnin...
Radiography Aged Radius Fractures Adult Humans Wrist Fractures Male Machine Learning Middle Aged Female
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A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features.

Orthopaedic surgery Apr 3, 2025
OBJECTIVE: Distal radius fractures account for 12%-17% of all fractures, with accurate classification being crucial for proper treatment planning. Studies have shown that in emergency settings, the misdiagnosis rate of hand/wrist fractures can reach ...
Radius Fractures Wrist Fractures Humans Neural Networks, Computer Adult Tomography, X-Ray Computed Male Female Middle Aged Aged Models, Statistical
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