AIMC Topic: Wrist Fractures
Clear Filters Showing 11 to 20 of 22 articles
Deep Learning Model for Automatic Identification and Classification of Distal Radius Fracture.
Journal of imaging informatics in medicine
Jun 11, 2024
Distal radius fracture (DRF) is one of the most common types of wrist fractures. We aimed to construct a model for the automatic segmentation of wrist radiographs using a deep learning approach and further perform automatic identification and classif...
Diagnostic Performance of Artificial Intelligence for Detection of Scaphoid and Distal Radius Fractures: A Systematic Review.
The Journal of hand surgery
Mar 28, 2024
PURPOSE: To review the existing literature to (1) determine the diagnostic efficacy of artificial intelligence (AI) models for detecting scaphoid and distal radius fractures and (2) compare the efficacy to human clinical experts.
Teardrop Alignment Changes After Volar Locking Plate Fixation of Distal Radius Fractures With Volar Ulnar Fragments.
Hand (New York, N.Y.)
Mar 4, 2024
BACKGROUND: We assessed factors associated with change in radiographic teardrop angle following volar locking plate (VLP) fixation of volarly displaced intra-articular distal radius fractures with volar ulnar fragments (VUF) within the ICUC database....
Deep learning performance compared to healthcare experts in detecting wrist fractures from radiographs: A systematic review and meta-analysis.
European journal of radiology
Feb 27, 2024
OBJECTIVE: To perform a systematic review and meta-analysis of the diagnostic accuracy of deep learning (DL) algorithms in the diagnosis of wrist fractures (WF) on plain wrist radiographs, taking healthcare experts consensus as reference standard.
Automatic Segmentation and Radiologic Measurement of Distal Radius Fractures Using Deep Learning.
Clinics in orthopedic surgery
Jan 15, 2024
BACKGROUND: Recently, deep learning techniques have been used in medical imaging studies. We present an algorithm that measures radiologic parameters of distal radius fractures using a deep learning technique and compares the predicted parameters wit...
Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework.
Physical and engineering sciences in medicine
Apr 27, 2023
Distal radius fractures (DRFs) are one of the most common types of wrist fracture and can be subdivided into intra- and extra-articular fractures. Compared with extra-articular DRFs which spare the joint surface, intra-articular DRFs extend to the ar...
Detecting pediatric wrist fractures using deep-learning-based object detection.
Pediatric radiology
Jan 18, 2023
BACKGROUND: Missed fractures are the leading cause of diagnostic error in the emergency department, and fractures of pediatric bones, particularly subtle wrist fractures, can be misidentified because of their varying characteristics and responses to ...
Detecting Distal Radius Fractures Using a Segmentation-Based Deep Learning Model.
Journal of digital imaging
Dec 21, 2022
Deep learning algorithms can be used to classify medical images. In distal radius fracture treatment, fracture detection and radiographic assessment of fracture displacement are critical steps. The aim of this study was to use pixel-level annotations...
Advanced feature fusion of radiomics and deep learning for accurate detection of wrist fractures on X-ray images.
BMC musculoskeletal disorders
May 20, 2025
OBJECTIVE: The aim of this study was to develop a hybrid diagnostic framework integrating radiomic and deep features for accurate and reproducible detection and classification of wrist fractures using X-ray images.
Artificial intelligence-guided distal radius fracture detection on plain radiographs in comparison with human raters.
Journal of orthopaedic surgery and research
May 16, 2025
BACKGROUND: The aim of this study was to compare the performance of artificial intelligence (AI) in detecting distal radius fractures (DRFs) on plain radiographs with the performance of human raters.
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