ArticlePediatric radiology2022
Autonomous artificial intelligence in pediatric radiology: the use and perception of BoneXpert for bone age assessment.
Article in Pediatric radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is there a skeletal age index that can predict accurate curve progression in adolescent idiopathic scoliosis? A systematic review.Pediatric radiology · 2024Pooled it
- External Validation of Deeplasia for Automated Bone Age Assessment Compared with Four Commercial AI Systems.Diagnostics (Basel, Switzerland) · 2026Article
- Current applications and challenges of artificial intelligence applied to diagnostics in pediatric musculoskeletal imaging.Pediatric radiology · 2026Review
- The current state of artificial intelligence research in pediatric radiology and recommendations for the future: a scoping review.Pediatric radiology · 2026Article
- Real-World Efficacy of Weekly Somatrogon on Growth and Bone Health in Pediatric Growth Hormone Deficiency: A 12-Month Retrospective Cohort StudyJournal of clinical research in pediatric endocrinology · 2026Article
- Comparative study of the performance of two versions of the same AI tool for pediatric skeletal maturation assessment.European radiology · 2026Article
- Developing new methods for the accurate evaluation of children's bone age based on X-ray images: a study on the accuracy and consistency of artificial intelligence and manual bone age evaluation.Quantitative imaging in medicine and surgery · 2026Article
- Bone Age Delay in X-linked Hypophosphatemia.Journal of the Endocrine Society · 2026Article
- Bracing AdoleScent Idiopathic Scoliosis after skeletal maturity (BASIS 2): study protocol for a randomized controlled trial within a larger trial.Bone & joint open · 2026Article
- 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
- Automated bone age calculation is an independent predictor of vertebral fracture burden in Duchenne muscular dystrophy.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025Article
- Comparative analysis of an automated bone age tool with manual assessment in a multiethnic Southeast Asian paediatric cohort in Singapore.Pediatric radiology · 2025Article
- Population-specific calibration and validation of an open-source bone age AI.Scientific reports · 2025Article
- Comparison of BoneXpert and IB-Lab-PANDA automated Bone Age Evaluation in Children With Growth and Puberty Disorders.Journal of the Endocrine Society · 2025Article
- The Impact of Artificial Intelligence on Radiologists' Reading Time in Bone Age Radiograph Assessment: A Preliminary Retrospective Observational Study.Journal of imaging informatics in medicine · 2025Observational
- Deep-Learning-based Automated Identification of Ventriculoperitoneal-Shunt Valve Models from Skull X-rays.Clinical neuroradiology · 2025Article
- A critical comparative study of the performance of three AI-assisted programs for bone age determination.European radiology · 2025Article
- Comparison of bone age assessment using manual Greulich and Pyle method versus automated BoneXpert method in South African children.SA journal of radiology · 2025Article
- Performance of two different artificial intelligence (AI) methods for assessing carpal bone age compared to the standard Greulich and Pyle method.La Radiologia medica · 2024Article
- Acceleration of skeletal maturation in Central Europe over the last two decades: insights from two cohorts of healthy children.Pediatric radiology · 2024Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
objectiveThe aim of this study was to investigate how the tool is used in clinical practice. Are radiologists more inclined to use BoneXpert to assist rather than replace themselves, and how much time is saved? MATERIALS AND
methodsWe sent a survey consisting of eight multiple-choice questions to 282 radiologists in departments in Europe already using the software.
resultsThe 97 (34%) respondents came from 18 countries. Their answers revealed that before installing the automated method, 83 (86%) of the respondents took more than 2 min per bone age rating; this fell to 20 (21%) respondents after installation. Only 17/97 (18%) respondents used BoneXpert to completely replace the radiologist; the rest used it to assist radiologists to varying degrees. For instance, 39/97 (40%) never overruled the automated reading, while 9/97 (9%) overruled more than 5% of the automated ratings. The majority 58/97 (60%) of respondents checked the radiographs themselves to exclude features of underlying disease.
conclusionBoneXpert significantly reduces reporting times for bone age determination. However, radiographic analysis involves more than just determining bone age. It also involves identification of abnormalities, and for this reason, radiologists cannot be completely replaced. AI systems originally developed to replace the radiologist might be more suitable as AI assist tools, particularly if they have not been validated to work autonomously, including the ability to omit ratings when the image is outside the range of validity.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.