Evidence map›Paper›PMID 41498826›Full record

ArticleEuropean radiology2026

Comparative study of the performance of two versions of the same AI tool for pediatric skeletal maturation assessment.

Grammatina Boitsios, Thomas Saliba, Paolo Simoni

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Grammatina BoitsiosDepartment of Radiology, Hôpital Delta, Centre Hospitalier Interrégional Edith Cavell (CHIREC), Brussels, Belgium. gboitsios@gmail.com.ORCID http://orcid.org/0000-0003-1575-9119
Thomas SalibaDepartment of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-6989-9577
Paolo SimoniDepartment of Radiology, Centre Hospitalier du Luxembourg (CHL), Luxembourg, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare BoneXpert version 3 with version 2 in estimating bone age and bone health index (BHI), focusing on mean absolute error (MAE) and root mean square error (RMSE) in healthy children. MATERIALS AND

methodsThis retrospective study included 449 healthy children: 231 females aged 2.11-15.88 years (mean 8.84) and 218 males aged 3.09-15.94 years (mean 9.55). Bone age was assessed using both versions. Chronological age was recorded, and correlations between estimated and chronological ages were calculated (R

resultsBoth versions showed strong correlations with chronological age (R

conclusionBoth BoneXpert versions are effective for bone age assessment in healthy children, with similar accuracy. Version 3 produces higher and more variable bone age SDS values and extends SDS reporting to younger ages. KEY POINTS: Question The reliability of the new version of the AI-supported program for bone age estimation in children needs to be evaluated. Findings In a sample of 449 healthy children, version 3 yields higher and more variable bone age SDS values and expands SDS availability to younger ages. Clinical relevance This comparative study draws the reader's attention to the fact that the modifications applied to the AI-supported program for bone age estimation are not always available to the users, and that its reliability and accuracy need to be validated.

Indexed as

Age Determination by SkeletonArtificial IntelligenceAdolescentChildChild, PreschoolFemaleHumansMaleReproducibility of ResultsRetrospective StudiesAge determination by skeletonArtificial intelligenceChildHandRadiography

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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.