ArticleJournal of clinical research in pediatric endocrinology2021
Traditional and New Methods of Bone Age Assessment-An Overview
Article in Journal of clinical research in pediatric endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.
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Who cites it
50 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Radiographic choice for skeletal maturation assessment: a systematic review of Cervical Vertebrae Method and Middle Phalanx Method.Oral radiology · 2026Pooled it
- AI-based bone age assessment versus forensic expert panel: agreement, sex bias, and ethical implications.International journal of legal medicine · 2026Article
- Dual-input deep learning bone age assessment in late adolescence using hand and knee radiographs.Skeletal radiology · 2026Article
- A prospective cross-sectional diagnostic feasibility study: musculoskeletal ultrasound for pediatric bone age evaluation.Translational pediatrics · 2026Article
- A Simplified Method for Assessing Bone Age in Adolescents.Clinical endocrinology · 2026Article
- Comparison of Two Artificial Intelligence Programs for Bone Age Assessment Using Hand-Wrist Radiographs in Korean Children and Adolescents Undergoing Orthodontic Diagnosis.Children (Basel, Switzerland) · 2026Article
- Atlanto-axial morphometric measurements for age and sex estimation: a retrospective cone beam computed tomography study.The Saudi dental journal · 2026Article
- Comparative study of the performance of two versions of the same AI tool for pediatric skeletal maturation assessment.European radiology · 2026Article
- Integrating Biological Maturity into Fitness Assessment and Physical Activity Interventions in Children and Adolescents: A Narrative Review.Sports (Basel, Switzerland) · 2026Review
- Bone age assessment: comparative analysis of Greulich-Pyle and Tanner-Whitehouse 3 by pediatric radiologists and endocrinologists.BMC medical imaging · 2026Article
- Leveraging AI solutions for sustainable practice in pediatric radiology: a practical guide and an educational tool.Pediatric radiology · 2026Review
- A comparative study of the interpretation results of different artificial intelligence bone age assessment software.Journal of pediatric endocrinology & metabolism : JPEM · 2026Article
- Preliminary study on ultrasound-based quantitative assessment of epiphyseal ossification angle for bone age evaluation in children.Quantitative imaging in medicine and surgery · 2026Article
- Serum 11-ketotestosterone is associated with overall disease-control status but adds limited information beyond androstenedione in children with 21-hydroxylase deficiency.Frontiers in endocrinology · 2026Article
- digiBONE: an automated tool for segmental Greulich-Pyle bone age assessment of Indian children and adolescents.Frontiers in endocrinology · 2026Article
- A developmental stage-aware graph transformer framework for automated bone-age assessment.Quantitative imaging in medicine and surgery · 2026Article
- Final height prediction of girls at menarche: a combined model using left hand and wrist bone age, knee radiomic scores, and clinical characteristics.World journal of pediatrics : WJP · 2026Article
- Article
- Automatic Bone Age Determination in Adult Height Prediction for Girls with Early Variants Puberty and Precocious PubertyJournal of clinical research in pediatric endocrinology · 2025Article
- A comparison of two artificial intelligence-based methods for assessing bone age in Turkish children: BoneXpert and VUNO Med-Bone Age.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Article
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5 authors.
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Abstract
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a hand and wrist radiograph and its analysis with Greulich-Pyle or Tanner-Whitehouse atlases, although it has been about 60 years since they were published. Due to the progress in the area of Computer-Aided Diagnosis and application of artificial intelligence in medicine, lately, numerous programs for automatic bone age assessment have been created. Most of them have been verified in clinical studies in comparison to traditional methods, showing good precision while eliminating inter- and intra-rater variability and significantly reducing the time of assessment. Additionally, there are available methods for assessment of bone age which avoid X-ray exposure, using modalities such as ultrasound or magnetic resonance imaging.
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