AIMC Topic: Radius Fractures
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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...
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...
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...
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 ...
The Role of 3D technology in corrective osteotomy for forearm malunion.
The Journal of hand surgery, European volume
Mar 27, 2025
Forearm malunion affects upper limb function, impairing rotation, grip strength, and dexterity. Traditional osteotomies, based on two-dimensional imaging and intraoperative adjustments, may fail to address the intricate three-dimensional aspects of f...
An open source convolutional neural network to detect and localize distal radius fractures on plain radiographs.
European journal of trauma and emergency surgery : official publication of the European Trauma Society
Jan 17, 2025
PURPOSE: Distal radius fractures (DRFs) are often initially assessed by junior doctors under time constraints, with limited supervision, risking significant consequences if missed. Convolutional Neural Networks (CNNs) can aid in diagnosing fractures....
A new distal radius fracture classification depending on the specific fragments through machine learning clustering method.
BMC musculoskeletal disorders
Dec 30, 2024
PURPOSES: The objective of this study was to investigate intra-articular distal radius fractures, aiming to provide a comprehensive analysis of fracture patterns and discuss the corresponding treatment strategies for each pattern.
Follow-Up Studies
Fracture Fixation, Internal
Cluster Analysis
Hand Strength
Humans
Radiography
Machine Learning
Adult
Intra-Articular Fractures
Range of Motion, Articular
Aged
Retrospective Studies
Male
Wrist Joint
Bone Plates
Aged, 80 and over
Female
Wrist Fractures
Radius Fractures
Young Adult
Middle Aged
Treatment Outcome
The potential benefit of artificial intelligence regarding clinical decision-making in the treatment of wrist trauma patients.
Journal of orthopaedic surgery and research
Sep 19, 2024
PURPOSE: The implementation of artificial intelligence (AI) in health care is gaining popularity. Many publications describe powerful AI-enabled algorithms. Yet there's only scarce evidence for measurable value in terms of patient outcomes, clinical ...
AI for detection, classification and prediction of loss of alignment of distal radius fractures; a systematic review.
European journal of trauma and emergency surgery : official publication of the European Trauma Society
Jul 9, 2024
PURPOSE: Early and accurate assessment of distal radius fractures (DRFs) is crucial for optimal prognosis. Identifying fractures likely to lose threshold alignment (instability) in a cast is vital for treatment decisions, yet prediction tools' accura...
Accuracy of wrist fracture detection on radiographs by artificial intelligence compared to human clinicians. A systematic review and meta-analysis.
European journal of radiology
Jun 29, 2024
PURPOSE: The aim of the study is to perform a systematic review and meta-analysis comparing the diagnostic performance of artificial intelligence (AI) and human readers in the detection of wrist fractures.
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