ArticleLa Radiologia medica2024
Performance of two different artificial intelligence (AI) methods for assessing carpal bone age compared to the standard Greulich and Pyle method.
Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Article
- Predicting pediatric age from chest X-rays using deep learning: a novel approach.Insights into imaging · 2025Article
- Recent topics in musculoskeletal imaging focused on clinical applications of AI: How should radiologists approach and use AI?La Radiologia medica · 2025Review
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9 authors.
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Abstract
purposeEvaluate the agreement between bone age assessments conducted by two distinct machine learning system and standard Greulich and Pyle method. MATERIALS AND
methodsCarpal radiographs of 225 patients (mean age 8 years and 10 months, SD = 3 years and 1 month) were retrospectively analysed at two separate institutions (October 2018 and May 2022) by both expert radiologists and radiologists in training as well as by two distinct AI software programmes, 16-bit AI
resultsThe bone age range estimated by the 16-bit AI
conclusionsBoth AI methods and GP provide correlated results, although the measurements made by AI were closer to each other compared to the GP method.
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