AIMC Topic: Carpal Bones

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Multi-label segmentation of carpal bones in MRI using expansion transfer learning.

Physics in medicine and biology Feb 17, 2025
The purpose of this study was to develop a robust deep learning approach trained with a smallMRI dataset for multi-label segmentation of all eight carpal bones for therapy planning and wrist dynamic analysis.A small dataset of 15 3.0-T MRI scans from...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Carpal Bones Humans
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Performance of two different artificial intelligence (AI) methods for assessing carpal bone age compared to the standard Greulich and Pyle method.

La Radiologia medica Aug 20, 2024
PURPOSE: Evaluate the agreement between bone age assessments conducted by two distinct machine learning system and standard Greulich and Pyle method.
Infant Adolescent Child, Preschool Child Retrospective Studies Female Male Age Determination by Skeleton Humans Artificial Intelligence Carpal Bones
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Enhancing wrist arthroscopy: artificial intelligence applications for bone structure recognition using machine learning.

Hand surgery & rehabilitation May 24, 2024
INTRODUCTION: Wrist arthroscopy is a rapidly expanding surgical discipline, but has a long and challenging learning curve. One of its difficulties is distinguishing the various anatomical structures during the procedure. Although artificial intellige...
Humans Male Cadaver Arthroscopy Prospective Studies Artificial Intelligence Female Wrist Joint Machine Learning Adult Carpal Bones Algorithms
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Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs.

European radiology Apr 18, 2024
OBJECTIVES: To develop and validate an artificial intelligence (AI) system for measuring and detecting signs of carpal instability on conventional radiographs.
Sensitivity and Specificity Male Middle Aged Female Aged Adult Wrist Joint Carpal Bones Carpal Joints Case-Control Studies Radiography Joint Instability Artificial Intelligence Retrospective Studies Humans
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Automatic segmentation and labelling of wrist bones in four-dimensional computed tomography datasets via deep learning.

The Journal of hand surgery, European volume Oct 26, 2023
This study developed a deep learning model for fully automatic segmentation and labelling of wrist bones from four-dimensional computed tomography (4DCT) scans. This is a crucial step towards implementing 4DCT for diagnosing wrist ligament lesions, r...
Wrist Four-Dimensional Computed Tomography Carpal Bones Ligaments, Articular Humans Deep Learning Image Processing, Computer-Assisted
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Construction of artificial intelligence system of carpal bone age for Chinese children based on China-05 standard.

Medical physics Mar 1, 2022
PURPOSE: The purpose of this study is to construct an automatic carpal bone age evaluation system for Chinese children based on TW3-C Carpal method by deep learning and to evaluate the accuracies in test set and clinical test set.
Radiography Age Determination by Skeleton Carpal Bones Artificial Intelligence Humans Infant, Newborn Child, Preschool Infant China Child Adolescent
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Three-Dimensional Carpal Arch Morphology Using Robot-Assisted Ultrasonography.

IEEE transactions on bio-medical engineering Jan 20, 2022
OBJECTIVE: The morphology of the carpal arch implicates the available space for the median nerve within the carpal tunnel. The purposes of this study were to 1) reconstruct the three-dimensional (3D) carpal arch by robot-assisted ultrasonography with...
Humans Wrist Joint Carpal Bones Ultrasonography Robotics Hand
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Skeletal bone age assessments for young children based on regression convolutional neural networks.

Mathematical biosciences and engineering : MBE Jul 12, 2019
Pediatricians and pediatric endocrinologists utilize Bone Age Assessment (BAA) for in-vestigations pertaining to genetic disorders, hormonal complications and abnormalities in the skeletal system maturity of children. Conventional methods dating back...
Data Interpretation, Statistical Observer Variation Pattern Recognition, Automated Carpal Bones X-Rays Age Determination by Skeleton Humans Child Neural Networks, Computer Image Processing, Computer-Assisted Regression Analysis China Reproducibility of Results Adolescent Young Adult Algorithms Child, Preschool Male Female Infant Infant, Newborn
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Carpal Bone Segmentation Using Fully Convolutional Neural Network.

Current medical imaging reviews Jan 1, 2019
BACKGROUND: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify a discrepancy between biological and chronological age of an individual by assessing the bone age growth. Currently, there are two main methods of executing BA...
Carpal Bones White People Infant, Newborn Deep Learning Black or African American Humans Hispanic or Latino Child Adolescent Age Determination by Skeleton Male Asian People Neural Networks, Computer Sex Factors Child, Preschool Infant Female
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