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Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels
13 references·2 citing·34 second hop
Bone Age Assessment Using Artificial Intelligence in Korean Pediatric Population: A Comparison of Deep-Learning Models Trained With Healthy Chronological and Greulich-Pyle Ages as Labels (2023)Bone Age Assessment Using Artificial Inte…Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment (2021)Clinical Validation of a Deep…Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment (2021)Automated Bone Age Assessment…Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method (2020)Artificial intelligence in bo…Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis (2019)Is the Greulich and Pyle atla…Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs (2017)Performance of a Deep-Learnin…Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency (2017)Computerized Bone Age Estimat…Bone Age: A Handy Tool for Pediatric Providers (2017)Bone Age: A Handy Tool for Pe…Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age (2008)Racial Differences in Growth …Hand Bone Age: A Digital Atlas of Skeletal Maturity (2005)Hand Bone Age: A Digital Atla…Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods (1999)Bone age assessment: a large …Bone age in children of diverse ethnicity. (1996)Bone age in children of diver…Reproducibility of bone ages when performed by radiology registrars: an audit of Tanner and Whitehouse II versus Greulich and Pyle methods (1994)Reproducibility of bone ages …EFFECT OF TRAINING ON REPLICABILITY OF ASSESSMENTS OF SKELETAL MATURITY (GREULICH-PYLE) (1970)EFFECT OF TRAINING ON REPLICA…Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review (2025)Artificial Intelligence-Based…A probability model for estimating age in young individuals relative to key legal thresholds: 15, 18 or 21-year (2024)A probability model for estim…RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Assessment of skeletal maturity and prediction of adult height:(TW3 Method) (2001)Validation and Reference Values of Automated Bone Age Determination for Four Ethnicities (2010)Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)The reliability of bone age determination in central European children using the Greulich and Pyle method. (1999)Hand X-ray in pediatric endocrinology: Skeletal age assessment and beyond (2014)Regression Convolutional Neural Network for Automated Pediatric Bone Age Assessment From Hand Radiograph (2018)STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT (1986)Bone age: assessment methods and clinical applications (2015)Evaluation of Bone Age in Children: A Mini-Review (2021)Assessment of skeletal maturity and prediction of adult height (TW3 method). (2002)Fully Automated Deep Learning System for Bone Age Assessment (2017)Forensic age estimation for pelvic X-ray images using deep learning (2018)Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions (2020)Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives (2022)The BoneXpert Method for Automated Determination of Skeletal Maturity (2009)Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks (2018)Incorporated region detection and classification using deep convolutional networks for bone age assessment (2019)Age estimation: The state of the art in relation to the specific demands of forensic practise (2000)Applicability of two commonly used bone age assessment methods to twenty-first century UK children (2019)Multi-factorial age estimation: A Bayesian approach combining dental and skeletal magnetic resonance imaging (2019)Traditional and New Methods of Bone Age Assessment-An Overview (2020)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Automated Bone Age Assessment with Image Registration Using Hand X-ray Images (2020)Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method (2023)Human age estimation combining third molar and skeletal development (2011)Forensic age estimation in living individuals: methodological considerations in the context of medico-legal practice (2015)Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis (2019)10.1016/b978-1-4160-2911-3.50026-1 (2000)Reliability of the methods applied to assess age minority in living subjects around 18 years old (2004)Biological maturation of youth athletes: assessment and implications (2015)Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development (2020)Age Estimation from Left-Hand Radiographs with Deep Learning Methods (2021)Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias (2023)
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References

  • 2017Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs456 cited
  • 1999Bone age assessment: a large scale comparison of the Greulich and Pyle, and Tanner and Whitehouse (TW2) methods248 cited
  • 1996Bone age in children of diverse ethnicity.238 cited
  • 2008Racial Differences in Growth Patterns of Children Assessed on the Basis of Bone Age190 cited
  • 1994Reproducibility of bone ages when performed by radiology registrars: an audit of Tanner and Whitehouse II versus Greulich and Pyle methods169 cited
  • 2017Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency168 cited
  • 2005Hand Bone Age: A Digital Atlas of Skeletal Maturity166 cited
  • 2017Bone Age: A Handy Tool for Pediatric Providers135 cited
  • 2019Is the Greulich and Pyle atlas applicable to all ethnicities? A systematic review and meta-analysis118 cited
  • 2020Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method72 cited
  • 2021Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment65 cited
  • 1970EFFECT OF TRAINING ON REPLICABILITY OF ASSESSMENTS OF SKELETAL MATURITY (GREULICH-PYLE)59 cited
  • 2021Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment

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  • 2024A probability model for estimating age in young individuals relative to key legal thresholds: 15, 18 or 21-year14 cited
  • 2025Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review12 cited