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Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review
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Use of artificial intelligence in determination of bone age of the healthy individuals: A scoping review (2023)Use of artificial intelligence in determi…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…Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions (2020)Bone Age Assessment Empowered…Bone age assessment based on deep convolution neural network incorporated with segmentation (2020)Bone age assessment based on …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…Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis (2019)Bone age assessment with vari…PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)PRISMA Extension for Scoping …Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs (2017)Performance of a Deep-Learnin…Fully Automated Deep Learning System for Bone Age Assessment (2017)Fully Automated Deep Learning…Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency (2017)Computerized Bone Age Estimat…What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents (2015)What automated age estimation…Bone age: assessment methods and clinical applications (2015)Bone age: assessment methods …Scoping reviews: time for clarity in definition, methods, and reporting (2014)Scoping reviews: time for cla…Value of MRI of the hand and the wrist in evaluation of bone age: Preliminary results (2013)Value of MRI of the hand and …Bone age assessment methods: A critical review (2013)Bone age assessment methods: …Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment (2012)Support Vector Machine Classi…The BoneXpert Method for Automated Determination of Skeletal Maturity (2009)The BoneXpert Method for Auto…Scoping studies: towards a methodological framework (2005)Scoping studies: advancing the methodology (2010)A scoping review on the conduct and reporting of scoping reviews (2016)What is an evidence map? A systematic review of published evidence maps and their definitions, methods, and products (2016)Scoping reviews: reinforcing and advancing the methodology and application (2021)A review of the most commonly used dental age estimation techniques. (2001)Age estimation of unaccompanied minors (2006)Hand X-ray in pediatric endocrinology: Skeletal age assessment and beyond (2014)Age-group determination of living individuals using first molar images based on artificial intelligence (2021)RADIOGRAPHIC ATLAS OF SKELETAL DEVELOPMENT OF THE HAND AND WRIST (1959)Assessment of Skeletal Maturity and Prediction of Adult Height (TW2 Method) (1976)Assessment of skeletal maturity and prediction of adult height (TW3 method). (2002)Deep learning for automated skeletal bone age assessment in X-ray images (2016)Tables for predicting adult height from skeletal age: Revised for use with the greulich-pyle hand standards (1952)Traditional and New Methods of Bone Age Assessment-An Overview (2020)Evaluation of Bone Age in Children: A Mini-Review (2021)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: An updated guideline for reporting systematic reviews (2021)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment (2021)Comparison of different machine learning approaches to predict dental age using Demirjian’s staging approach (2021)Machine learning assisted Cameriere method for dental age estimation (2021)Paediatric Bone Age Assessment Using Deep Convolutional Neural Networks (2018)Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction (2019)Forensic age estimation for pelvic X-ray images using deep learning (2018)Applications of artificial intelligence in forensic sciences: Current potential benefits, limitations and perspectives (2022)Incorporated region detection and classification using deep convolutional networks for bone age assessment (2019)Intelligent Bone Age Assessment: An Automated System to Detect a Bone Growth Problem Using Convolutional Neural Networks with Attention Mechanism (2021)Hyperparameter optimization based deep convolution neural network model for automated bone age assessment and classification (2022)Bone Age Assessment Using Various Medical Imaging Techniques Enhanced by Artificial Intelligence (2025)
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References

  • 2018PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation43,318 cited
  • 2014Scoping reviews: time for clarity in definition, methods, and reporting2,780 cited
  • 2017Performance of a Deep-Learning Neural Network Model in Assessing Skeletal Maturity on Pediatric Hand Radiographs456 cited
  • 2017Fully Automated Deep Learning System for Bone Age Assessment452 cited
  • 2009The BoneXpert Method for Automated Determination of Skeletal Maturity438 cited
  • 2015Bone age: assessment methods and clinical applications205 cited
  • 2013Bone age assessment methods: A critical review178 cited
  • 2017Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency168 cited
  • 2019Bone age assessment with various machine learning techniques: A systematic literature review and meta-analysis151 cited
  • 2020Bone Age Assessment Empowered with Deep Learning: A Survey, Open Research Challenges and Future Directions84 cited
  • 2020Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method72 cited
  • 2012Support Vector Machine Classification Based on Correlation Prototypes Applied to Bone Age Assessment60 cited
  • 2013Value of MRI of the hand and the wrist in evaluation of bone age: Preliminary results56 cited
  • 2020

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Bone age assessment based on deep convolution neural network incorporated with segmentation
46 cited
  • 2021Clinical Validation of a Deep Learning-Based Hybrid (Greulich-Pyle and Modified Tanner-Whitehouse) Method for Bone Age Assessment38 cited
  • 2015What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents34 cited
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