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Diagnostics, 2020 Deep learning is a quite useful and proliferating technique of machine learning. Various applications, such as medical images analysis, medical images processing, text understanding, and speech recognition, have been using deep learning, and it has been ...
Muhammad Waqas Nadeem +5 more
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An artificial intelligence-based bone age assessment model for Han and Tibetan children [PDF]
Frontiers in PhysiologyBackground: Manual bone age assessment (BAA) is associated with longer interpretation time and higher cost and variability, thus posing challenges in areas with restricted medical facilities, such as the high-altitude Tibetan Plateau.
Qixing Liu +8 more
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Assessment of Bone Age Based on Hand Radiographs Using Regression-Based Multi-Modal Deep Learning [PDF]
Life(1) Objective: In this study, a regression-based multi-modal deep learning model was developed for use in bone age assessment (BAA) utilizing hand radiographic images and clinical data, including patient gender and chronological age, as input data.
Jeoung Kun Kim +2 more
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Accuracy and self-validation of automated bone age determination
Scientific Reports, 2022 The BoneXpert method for automated determination of bone age from hand X-rays was introduced in 2009 and is currently running in over 200 hospitals. The aim of this work is to present version 3 of the method and validate its accuracy and self-validation ...
D. D. Martin +4 more
semanticscholar +1 more source
Pediatric Radiology, 2022 The autonomous artificial intelligence (AI) system for bone age rating (BoneXpert) was designed to be used in clinical radiology practice as an AI-replace tool, replacing the radiologist completely.
H. H. Thodberg +3 more
semanticscholar +1 more source
Chronological and Skeletal Age in Relation to Physical Fitness Performance in Preschool Children
Frontiers in Pediatrics, 2021 Introduction: Physical fitness is an adaptive state that varies with an individual's growth and maturity status. Considering that the difference in skeletal maturity already existed among preschool children, this study was designed to determine the ...
Dandan Ke +5 more
doaj +1 more source
Evaluation of Bone Age in Children: A Mini-Review
Frontiers in Pediatrics, 2021 Bone age represents a common index utilized in pediatric radiology and endocrinology departments worldwide for the definition of skeletal maturity for medical and non-medical purpose.
F. Cavallo +3 more
semanticscholar +1 more source
A deep learning-based computer-aided diagnosis method of X-ray images for bone age assessment
Complex & Intelligent Systems, 2021 Bone age assessment using hand-wrist X-ray images is fundamental when diagnosing growth disorders of a child or providing a more patient-specific treatment.
Shaowei Li +5 more
semanticscholar +1 more source
JOIV: International Journal on Informatics Visualization, 2023 Bone age is an index used by pediatric radiology and endocrinology departments worldwide to define skeletal maturity for medical and non-medical purposes.
Anisah Nabilah +3 more
doaj +1 more source
Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment
Korean Journal of Radiology, 2021 Bone age assessments are a complicated and lengthy process, which are prone to inter- and intra-observer variabilities. Despite the great demand for fully automated systems, developing an accurate and robust bone age assessment solution has remained ...
B. Lee, Mu Sook Lee
semanticscholar +1 more source