Articles with "bone age" as a keyword



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Bone age determination using only the index finger: a novel approach using a convolutional neural network compared with human radiologists

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Published in 2019 at "Pediatric Radiology"

DOI: 10.1007/s00247-019-04587-y

Abstract: Background Recently developed convolutional neural network (CNN) models determine bone age more accurately than radiologists. Objective The purpose of this study was to determine whether a CNN and radiologists can accurately predict bone age from… read more here.

Keywords: age; index finger; bone age;
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Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment

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Published in 2022 at "Pediatric Radiology"

DOI: 10.1007/s00247-022-05295-w

Abstract: 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. The aim of this study was to… read more here.

Keywords: radiology; bonexpert; autonomous artificial; bone age ... See more keywords
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Applicability of two commonly used bone age assessment methods to twenty-first century UK children

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Published in 2019 at "European Radiology"

DOI: 10.1007/s00330-019-06300-x

Abstract: Objectives To assess the effect of secular change on skeletal maturation and thus on the applicability of the Greulich and Pyle (G&P) and Tanner and Whitehouse (TW3) methods. Methods BoneXpert was used to assess bone… read more here.

Keywords: twenty first; age; first century; bone age ... See more keywords
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MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling

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Published in 2018 at "Journal of Digital Imaging"

DOI: 10.1007/s10278-018-0053-3

Abstract: 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,… read more here.

Keywords: network; bone age; age; deep learning ... See more keywords
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Radiographs and texts fusion learning based deep networks for skeletal bone age assessment

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Published in 2020 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-020-08943-1

Abstract: Bone age assessment is a pediatric examination that determines the difference between skeletal age and chronological age. The discrepancy between the two ages will often trigger the likelihood of genetic disorders, hormonal complications and abnormalities… read more here.

Keywords: age; age assessment; fusion learning; bone age ... See more keywords
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Deep learning for automated skeletal bone age assessment in X‐ray images

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Published in 2017 at "Medical Image Analysis"

DOI: 10.1016/j.media.2016.10.010

Abstract: HIGHLIGHTSTesting several Convolutional Neural Networks on for skeletal bone age assessment with X‐Ray images.BoNet: a CNN for automated skeletal age assessment able to cope with hand nonrigid deformation.First automated skeletal bone age assessment work tested… read more here.

Keywords: age assessment; age; skeletal bone; deep learning ... See more keywords
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Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks

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Published in 2020 at "Medical image analysis"

DOI: 10.1016/j.media.2020.101743

Abstract: Pediatric endocrinologists regularly order radiographs of the left hand to estimate the degree of bone maturation in order to assess their patients for advanced or delayed growth, physical development, and to monitor consecutive therapeutic measures.… read more here.

Keywords: mimicking radiologists; hand; bone; radiologists workflow ... See more keywords
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Probing an AI regression model for hand bone age determination using gradient-based saliency mapping

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Published in 2021 at "Scientific Reports"

DOI: 10.1038/s41598-021-90157-y

Abstract: 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.… read more here.

Keywords: saliency; age; gradient based; model ... See more keywords
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External validation of deep learning-based bone-age software: a preliminary study with real world data

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Published in 2022 at "Scientific Reports"

DOI: 10.1038/s41598-022-05282-z

Abstract: 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… read more here.

Keywords: age; deep learning; bone age; software ... See more keywords
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A Comparison of 2 Abbreviated Methods for Assessing Adolescent Bone Age: The Shorthand Bone Age Method and the SickKids/Columbia Method

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Published in 2022 at "Journal of Pediatric Orthopaedics"

DOI: 10.1097/bpo.0000000000002269

Abstract: Background: Radiographic assessment of bone age is critically important to decision-making on the type and timing of operative interventions in pediatric orthopaedics. The current widely accepted method for determining bone age is time and resource-intensive.… read more here.

Keywords: bone age; abbreviated methods; reliability; age ... See more keywords
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Skeletal Maturity in Legg-Calve-Perthes Disease: Significant Discrepancy Present Between the Hand and the Hip

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Published in 2023 at "Journal of Pediatric Orthopaedics"

DOI: 10.1097/bpo.0000000000002368

Abstract: Background: The concept of delayed skeletal maturity in Legg-Calve-Perthes Disease (LCPD) has been well identified with the Greulich and Pyle (GP) atlas showing 1 to 2 years delay. Recently the optimized Oxford hip skeletal age… read more here.

Keywords: bone age; skeletal maturity; age; maturity ... See more keywords