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Age Determination by Skeleton

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[Technical Realization of Integrating Bone Age Artificial Intelligence Assessment System with Hospital RIS-PACS Network].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Oct 8, 2020
OBJECTIVE: To explore the integration method and technical realization of artificial intelligence bone age assessment system with the hospital RIS-PACS network and workflow.
Humans Bone and Bones Hospital Information Systems Systems Integration Age Determination by Skeleton Artificial Intelligence Hospitals Radiology Information Systems
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Research Progress and Prospect of Machine Learning in Bone Age Assessment.

Fa yi xue za zhi Feb 1, 2020
Bone age assessment has always been one of the key issues and difficulties in forensic science. With the gradual development of machine learning in many industries, it has been widely introduced to imageology, genomics, oncology, pathology, surgery a...
Humans Machine Learning Age Determination by Skeleton
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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...
Neural Networks, Computer Algorithms Female Infant, Newborn Humans X-Rays Age Determination by Skeleton Carpal Bones Child, Preschool Infant Child China Reproducibility of Results Image Processing, Computer-Assisted Observer Variation Adolescent Young Adult Pattern Recognition, Automated Regression Analysis Male Data Interpretation, Statistical
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Accurate Age Determination for Adolescents Using Magnetic Resonance Imaging of the Hand and Wrist with an Artificial Neural Network-Based Approach.

Journal of digital imaging Apr 1, 2019
This study proposes an accurate method in assessing chronological age of the adolescents using a machine learning approach using MRI images. We also examined the value of MRI with Tanner-Whitehouse 3 (TW3) method in assessing skeletal maturity. Seven...
Magnetic Resonance Imaging Wrist Hand Male Adolescent Imaging, Three-Dimensional Hong Kong Age Determination by Skeleton Neural Networks, Computer Female Humans
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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...
White People Black or African American Age Determination by Skeleton Carpal Bones Asian People Hispanic or Latino Sex Factors Adolescent Child, Preschool Child Humans Neural Networks, Computer Female Infant Deep Learning Infant, Newborn Male
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MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.

Journal of digital imaging Aug 1, 2018
Bone age assessment (BAA) is a commonly performed diagnostic study in pediatric radiology to assess skeletal maturity. The most commonly utilized method for assessment of BAA is the Greulich and Pyle method (Pediatr Radiol 46.9:1269-1274, 2016; Arch ...
Retrospective Studies Neural Networks, Computer Child, Preschool Female Sensitivity and Specificity Infant Machine Learning Infant, Newborn Child Deep Learning Humans Male Diagnosis, Computer-Assisted Pediatrics Adolescent Databases, Factual Age Determination by Skeleton Cohort Studies
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Automated Assessment of Bone Age Using Deep Learning and Gaussian Process Regression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Bone age is an essential measure of skeletal maturity in children with growth disorders. It is typically assessed by a trained physician using radiographs of the hand and a reference model. However, it has been described that the reference models lea...
Age Determination by Skeleton Hand Bones Young Adult Infant Radiography Adolescent Retrospective Studies Humans Deep Learning Image Interpretation, Computer-Assisted Child, Preschool Female Observer Variation Infant, Newborn Child Normal Distribution
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Fully Automated Deep Learning System for Bone Age Assessment.

Journal of digital imaging Aug 1, 2017
Skeletal maturity progresses through discrete phases, a fact that is used routinely in pediatrics where bone age assessments (BAAs) are compared to chronological age in the evaluation of endocrine and metabolic disorders. While central to many diseas...
Male Software Humans Age Determination by Skeleton Decision Support Systems, Clinical Female Neural Networks, Computer Hand Adolescent Adult Machine Learning Child
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