AIMC Topic: Hand Bones

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Generating accurate sex estimation from hand X-ray images using AI deep-learning techniques: A study of limited bone regions.

Legal medicine (Tokyo, Japan) Mar 20, 2025
Hand bone structure provides valuable features for sex estimation. This research introduces a novel approach using Artificial Intelligence (AI), specifically Convolutional Neural Networks (CNNs), to classify sex from hand X-ray images, focusing on th...
Neural Networks, Computer Artificial Intelligence Female Adult Humans Sex Determination by Skeleton Forensic Anthropology Hand Bones Male Metacarpal Bones Deep Learning Radiography Hand
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A critical comparative study of the performance of three AI-assisted programs for bone age determination.

European radiology Nov 5, 2024
OBJECTIVES: To date, AI-supported programs for bone age (BA) determination for medical use in Europe have almost only been validated separately, according to Greulich and Pyle (G&P). Therefore, the current study aimed to compare the performance of th...
Age Determination by Skeleton Retrospective Studies Hand Bones Female Reproducibility of Results Male Infant Humans Adolescent Artificial Intelligence Child, Preschool Child
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Deep learning-based automated bone age estimation for Saudi patients on hand radiograph images: a retrospective study.

BMC medical imaging Aug 1, 2024
PURPOSE: In pediatric medicine, precise estimation of bone age is essential for skeletal maturity evaluation, growth disorder diagnosis, and therapeutic intervention planning. Conventional techniques for determining bone age depend on radiologists' s...
Male Infant Deep Learning Saudi Arabia Humans Neural Networks, Computer Retrospective Studies Female Age Determination by Skeleton Adolescent Hand Bones Child, Preschool Child
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Adaptive Multi-Dimensional Weighted Network With Category-Aware Contrastive Learning for Fine-Grained Hand Bone Segmentation.

IEEE journal of biomedical and health informatics Jul 2, 2024
Accurately delineating and categorizing individual hand bones in 3D ultrasound (US) is a promising technology for precise digital diagnostic analysis. However, this is a challenging task due to the inherent imaging limitations of the US and the insig...
Ultrasonography Imaging, Three-Dimensional Hand Hand Bones Deep Learning Child, Preschool Child Humans Algorithms
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Applicability and robustness of an artificial intelligence-based assessment for Greulich and Pyle bone age in a German cohort.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Dec 8, 2023
PURPOSE: The determination of bone age (BA) based on the hand and wrist, using the 70-year-old Greulich and Pyle (G&P) atlas, remains a widely employed practice in various institutions today. However, a more recent approach utilizing artificial intel...
Child, Preschool Child Reference Values Germany Age Determination by Skeleton Hand Bones Sensitivity and Specificity Male Adolescent Cohort Studies Software Retrospective Studies Female Humans Artificial Intelligence
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External validation of deep learning-based bone-age software: a preliminary study with real world data.

Scientific reports Jan 24, 2022
Artificial intelligence (AI) is increasingly being used in bone-age (BA) assessment due to its complicated and lengthy nature. We aimed to evaluate the clinical performance of a commercially available deep learning (DL)-based software for BA assessme...
Child, Preschool Female Age Determination by Skeleton Male Humans Hand Bones Child Deep Learning Radiography Adolescent Feasibility Studies
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Probing an AI regression model for hand bone age determination using gradient-based saliency mapping.

Scientific reports May 19, 2021
Understanding how a neural network makes decisions holds significant value for users. For this reason, gradient-based saliency mapping was tested on an artificial intelligence (AI) regression model for determining hand bone age from X-ray radiographs...
Humans Artificial Intelligence Algorithms Child Regression Analysis Color Age Determination by Skeleton Hand Bones
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Traditional and New Methods of Bone Age Assessment-An Overview.

Journal of clinical research in pediatric endocrinology Oct 26, 2020
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a...
Female Infant, Newborn Reproducibility of Results Adolescent Development Young Adult Adolescent Hand Bones Male Humans Infant Child, Preschool Neural Networks, Computer Diagnosis, Computer-Assisted Child Automation Deep Learning Predictive Value of Tests Age Factors Child Development Radiographic Image Interpretation, Computer-Assisted Wrist Joint Observer Variation Age Determination by Skeleton
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Skeletal bone age prediction based on a deep residual network with spatial transformer.

Computer methods and programs in biomedicine Sep 12, 2020
OBJECTIVE: Bone age prediction can be performed by medical experts manually assessment of X-ray images of the hand bone. In practice, the workload is huge, resource consumption is large, measurement takes a long time, and it is easily influenced by h...
Hand Bones Humans Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted
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Automated age estimation from MRI volumes of the hand.

Medical image analysis Jul 31, 2019
Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and adolescents are based on visual examination of bone ossification in X-ray images of the hand. Our group...
Age Determination by Skeleton Child Humans Hand Bones Imaging, Three-Dimensional Machine Learning Adolescent Magnetic Resonance Imaging Datasets as Topic
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