AIMC Topic: Elbow Injuries

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Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.

European journal of trauma and emergency surgery : official publication of the European Trauma Society Feb 20, 2025
OBJECTIVES: Pediatric elbow fractures are a common injury among children. Recent advancements in artificial intelligence (AI), particularly deep learning (DL), have shown promise in diagnosing these fractures. This study systematically evaluated the ...
Humans Deep Learning Adolescent Child, Preschool Sensitivity and Specificity Infant Elbow Injuries Child Elbow Fractures Fractures, Bone
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Detection of Traumatic Pediatric Elbow Joint Effusion Using a Deep Convolutional Neural Network.

AJR. American journal of roentgenology Oct 9, 2018
OBJECTIVE: The purpose of this study is to determine whether a deep convolutional neural network (DCNN) trained on a dataset of limited size can accurately diagnose traumatic pediatric elbow effusion on lateral radiographs.
Male Infant Adolescent Child, Preschool Diagnosis, Computer-Assisted Young Adult Sensitivity and Specificity Retrospective Studies Female Elbow Injuries Humans Child Elbow Joint Neural Networks, Computer Observer Variation Radiography
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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...
Child Ultrasonography Humans Artificial Intelligence Fractures, Bone Sensitivity and Specificity Male Elbow Injuries Elbow Female Point-of-Care Systems Wrist Injuries Radius Fractures Child, Preschool Elbow Fractures
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Using a Dual-Input Convolutional Neural Network for Automated Detection of Pediatric Supracondylar Fracture on Conventional Radiography.

Investigative radiology Feb 1, 2020
OBJECTIVES: This study aimed to develop a dual-input convolutional neural network (CNN)-based deep-learning algorithm that utilizes both anteroposterior (AP) and lateral elbow radiographs for the automated detection of pediatric supracondylar fractur...
Elbow Injuries Radiographic Image Interpretation, Computer-Assisted Feasibility Studies ROC Curve Fractures, Bone Radiography Elbow Humans Area Under Curve Algorithms Deep Learning Retrospective Studies Child Neural Networks, Computer Reproducibility of Results Sensitivity and Specificity
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[Effectiveness of improved elbow anteromedial approach in treatment of ulna coronoid process fracture].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Dec 15, 2017
OBJECTIVE: To observe the effectiveness of reduction and fixation by the improved elbow anteromedial approach in treatment of ulna coronoid process fracture.
Joint Dislocations Radius Fractures Elbow Joint Range of Motion, Articular Elbow Injuries Ulna Ulna Fractures Male Young Adult Humans Adolescent Treatment Outcome Middle Aged Female Fracture Fixation, Internal Adult
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