AIMC Topic: Age Determination by Skeleton
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A machine learning approach for age prediction based on trigeminal landmarks.
Journal of forensic and legal medicine
Aug 26, 2024
OBJECTIVE: The aim of this study was to estimate the chronological age (CA) of a growing individual using a new machine learning approach on Cone Beam Computed Tomography (CBCT).
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.
Age estimation using medial clavicle by histomorphometry method with artificial intelligence: A review.
Medicine, science, and the law
Aug 7, 2024
This review research critically assesses the evolving landscape of age estimation methodologies, with a particular focus on the innovative integration of histomorphometry and artificial intelligence (AI) in the analysis of the medial clavicle. The me...
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...
Comparative analysis of deep-learning-based bone age estimation between whole lateral cephalometric and the cervical vertebral region in children.
The Journal of clinical pediatric dentistry
Jul 3, 2024
Bone age determination in individuals is important for the diagnosis and treatment of growing children. This study aimed to develop a deep-learning model for bone age estimation using lateral cephalometric radiographs (LCRs) and regions of interest (...
Artificial intelligence model system for bone age assessment of preschool children.
Pediatric research
May 27, 2024
BACKGROUD: Our study aimed to assess the impact of inter- and intra-observer variations when utilizing an artificial intelligence (AI) system for bone age assessment (BAA) of preschool children.
Artificial intelligence in age and sex determination using maxillofacial radiographs: A systematic review.
The Journal of forensic odonto-stomatology
Apr 30, 2024
In the past few years, there has been an enormous increase in the application of artificial intelligence and its adoption in multiple fields, including healthcare. Forensic medicine and forensic odontology have tremendous scope for development using ...
Olecranon bone age assessment in puberty using a lateral elbow radiograph and a deep-learning model.
European radiology
Apr 27, 2024
OBJECTIVES: To improve pubertal bone age (BA) evaluation by developing a precise and practical elbow BA classification using the olecranon, and a deep-learning AI model.
Experience of Using Neural Networks to Assess Age-Related Changes in Some Structures of the Skull and Cervical Vertebrae Based on CT Scans (Pilot Project).
Sovremennye tekhnologii v meditsine
Apr 27, 2024
UNLABELLED: is to study the possibility of using artificial intelligence technologies for age prediction based on CT studies of some structures of the skull and cervical vertebrae.
Development of a deep-learning algorithm for age estimation on CT images of the vertebral column.
Legal medicine (Tokyo, Japan)
Apr 7, 2024
PURPOSE: The accurate age estimation of cadavers is essential for their identification. However, conventional methods fail to yield adequate age estimation especially in elderly cadavers. We developed a deep learning algorithm for age estimation on C...
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