AIMC Topic: Age Determination by Skeleton

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Deep learning based quantitative cervical vertebral maturation analysis.

Head & face medicine Mar 26, 2025
OBJECTIVES: This study aimed to enhance clinical diagnostics for quantitative cervical vertebral maturation (QCVM) staging with precise landmark localization. Existing methods are often subjective and time-consuming, while deep learning alternatives ...
Adolescent Child Anatomic Landmarks Cephalometry Cervical Vertebrae Age Determination by Skeleton Neural Networks, Computer Female Male Deep Learning Humans
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The impact of multi-modality fusion and deep learning on adult age estimation based on bone mineral density.

International journal of legal medicine Mar 18, 2025
INTRODUCTION: Age estimation, especially in adults, presents substantial challenges in different contexts ranging from forensic to clinical applications. Bone mineral density (BMD), with its distinct age-related variations, has emerged as a critical ...
Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Bone Density Middle Aged Aged, 80 and over Deep Learning Young Adult China Adult Age Determination by Skeleton Male
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis.

BMC oral health Feb 5, 2025
BACKGROUND: Artificial intelligence (AI) methods, including machine learning and deep learning, are increasingly applied in orthodontics for tasks like assessing skeletal maturity. Accurate timing of treatment is crucial, but traditional methods such...
Cervical Vertebrae Age Determination by Skeleton Humans Artificial Intelligence
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Automatic skeletal maturity grading from pelvis radiographs by deep learning for adolescent idiopathic scoliosis.

Medical & biological engineering & computing Jan 22, 2025
Adolescent idiopathic scoliosis (AIS) is a three-dimensional spine deformity governed of the spine. A child's Risser stage of skeletal maturity must be carefully considered for AIS evaluation and treatment. However, there are intra-observer and inter...
Age Determination by Skeleton Deep Learning Image Processing, Computer-Assisted Humans Adolescent Radiography Female Child Male Pelvis Scoliosis
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Classifying age from medial clavicle using a 30-year threshold: An image analysis based approach.

PloS one Nov 22, 2024
This study aimed to develop image-analysis-based classification models for distinguishing individuals younger and older than 30 using the medial clavicle. We extracted 2D images of the medial clavicle from multi-slice computed tomography (MSCT) scans...
Age Determination by Skeleton Clavicle Male Logistic Models Middle Aged Female Image Processing, Computer-Assisted Support Vector Machine Humans Aged Neural Networks, Computer Age Factors Young Adult Tomography, X-Ray Computed Principal Component Analysis Adult
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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...
Adolescent Child, Preschool Child Age Determination by Skeleton Hand Bones Female Reproducibility of Results Male Infant Humans Artificial Intelligence Retrospective Studies
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Application of machine-learning methods in age-at-death estimation from 3D surface scans of the adult acetabulum.

Forensic science international Oct 28, 2024
OBJECTIVE: Age-at-death estimation is usually done manually by experts. As such, manual estimation is subjective and greatly depends on the past experience and proficiency of the expert. This becomes even more critical if experts need to evaluate ind...
Middle Aged Humans Aged, 80 and over Imaging, Three-Dimensional Machine Learning Software Acetabulum Young Adult Female Adult Linear Models Aged Age Determination by Skeleton Male Forensic Anthropology
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Charting the growth through intelligence: A SWOC analysis on AI-assisted radiologic bone age estimation.

International journal of legal medicine Oct 26, 2024
Bone age estimation (BAE) is based on skeletal maturity and degenerative process of the skeleton. The clinical importance of BAE is in understanding the pediatric and growth-related disorders; whereas medicolegally it is important in determining crim...
Age Determination by Skeleton Forensic Anthropology Artificial Intelligence Algorithms Child Humans
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An explainable machine learning estimated biological age based on morphological parameters of the spine.

GeroScience Oct 24, 2024
Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is widely accepted that the prevalence of spine compression increases significantly with age. However, biological age based on vertebral morphological data...
Humans Machine Learning Adult Male Aging Middle Aged Female Aged Aged, 80 and over Age Determination by Skeleton Nutrition Surveys Spine Absorptiometry, Photon
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Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement.

Progress in orthodontics Sep 16, 2024
OBJECTIVES: This study aimed to assess the accuracy of machine learning (ML) models with feature selection technique in classifying cervical vertebral maturation stages (CVMS). Consensus-based datasets were used for models training and evaluation for...
Machine Learning Cervical Vertebrae Child Humans Datasets as Topic Support Vector Machine Female Observer Variation Cephalometry Male Age Determination by Skeleton Adolescent
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