AIMC Topic: Wrist Injuries
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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 ...
Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist.
European radiology
Nov 15, 2022
OBJECTIVES: To assess how an artificial intelligence (AI) algorithm performs against five experienced musculoskeletal radiologists in diagnosing scaphoid fractures and whether it aids their diagnosis on conventional multi-view radiographs.
Robot-assisted vs traditional percutaneous freehand for the scaphoid fracture treatment: a retrospective study.
International orthopaedics
Aug 4, 2022
PURPOSE: The purpose of this study was to assess the efficiency, safety, and accuracy of cannulated screw fixation using a robot-assisted method compared with a traditional percutaneous freehand method.
A pediatric wrist trauma X-ray dataset (GRAZPEDWRI-DX) for machine learning.
Scientific data
May 20, 2022
Digital radiography is widely available and the standard modality in trauma imaging, often enabling to diagnose pediatric wrist fractures. However, image interpretation requires time-consuming specialized training. Due to astonishing progress in comp...
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...
Application of deep learning: detection of obsolete scaphoid fractures with artificial neural networks.
The Journal of hand surgery, European volume
Jun 24, 2021
Critical evaluation of deep neural networks for wrist fracture detection.
Scientific reports
Mar 16, 2021
Wrist Fracture is the most common type of fracture with a high incidence rate. Conventional radiography (i.e. X-ray imaging) is used for wrist fracture detection routinely, but occasionally fracture delineation poses issues and an additional confirma...
Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments.
Acta orthopaedica
Apr 3, 2019
Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identify...
A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma.
The Journal of hand surgery
Jun 1, 2025
PURPOSE: To identify predictors of a true scaphoid fracture among patients with radial wrist pain following acute trauma, train 5 machine learning (ML) algorithms in predicting scaphoid fracture probability, and design a decision rule to initiate adv...
Wrist and elbow fracture detection and segmentation by artificial intelligence using point-of-care ultrasound.
Journal of ultrasound
Jun 1, 2025
PURPOSE: Distal radius (wrist) and supracondylar (elbow) fractures are common in children presenting to Pediatric Emergency Departments (EDs). These fractures are treated conservatively or surgically depending on deformity severity. Radiographs are t...
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