AIMC Topic: Radius Fractures
Clear Filters Showing 11 to 20 of 27 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...
Minimally invasive percutaneous screw internal fixation under robot navigation for the treatment of a hamate bone fracture.
BMC musculoskeletal disorders
Dec 1, 2023
PURPOSE: Hamate fractures are rare fractures of the wrist and there is still no consensus on the optimal treatment for these fractures, especially hook of hamate fractures. Herein, the authors present a case study of a series of patients who were tre...
Feasibility and clinical usefulness of deep learning-accelerated MRI for acute painful fracture patients wearing a splint: A prospective comparative study.
PloS one
Jun 28, 2023
OBJECTIVE: To evaluate the feasibility and clinical usefulness of deep learning (DL)-accelerated turbo spin echo (TSEDL) sequences relative to standard TSE sequences (TSES) for acute radius fracture patients wearing a splint.
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...
Artificial intelligence to diagnosis distal radius fracture using biplane plain X-rays.
Journal of orthopaedic surgery and research
Nov 25, 2021
BACKGROUND: Although the automatic diagnosis of fractures using artificial intelligence (AI) has recently been reported to be more accurate than those by orthopedics specialists, big data with at least 1000 images or more are required for deep learni...
Robot-assisted arm training for treating adult patients with distal radius fracture: a proof-of-concept pilot study.
European journal of physical and rehabilitation medicine
Feb 25, 2020
BACKGROUND: Fracture of the distal radius is a common wrist injury. As to its management after orthopedic (conservative or surgical) treatment, there is weak evidence for conventional rehabilitation interventions. Despite the increasing interest for ...
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