Automated MRI-based framework combining deep learning localization and machine learning classification for…

AI / informaticsInternational journal of legal medicine· Jul 2026

Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.

Yuting Luo, Xiaofei Zhang, Shinong Pan, Fuyao Yu

Pediatric RadiologyAI / informaticsDiagnosisQ1IF 3.1

Magnetic resonance imaging-based artificial intelligence staged pubertal bone age accurately in boys at external centre

Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.

Yuting Luo … Fuyao Yu

International journal of legal medicine · Jul 2026

Purpose

This study developed a magnetic resonance imaging (magnetic resonance imaging)-based artificial intelligence (artificial intelligence) framework for ordered pubertal olecranon bone age (bone age) staging and evaluated internal performance and preliminary cross-centre transportability.

Methods

This retrospective two-centre study included a development cohort of 197 elbow magnetic resonance imaging examinations from Shengjing Hospital of China Medical University and an independent external-validation cohort of 72 elbow magnetic resonance imaging examinations from Handan Central Hospital.

n = 197 elbow MRI examinations

Results

boys' bone stage matched true stage nearly all the time at the outside centre

Girls

86.67%

Boys

90.48%

More results

Automated localization achieved a mean average precision of 1.0.

The final NN classifier reached internal-validation accuracies of 94.12% in girls and 93.75% in boys, with stage-mapped mean absolute error (mean absolute error)/root mean square error (RMSE) values of 0.029/0.121 and 0.062/0.250 years, respectively.

“

Conclusion · 1 of 2

The magnetic resonance imaging-based framework provided stage-consistent internal performance and preliminary evidence of cross-centre transportability within the studied pubertal age window.

Conclusion · 2 of 2

It should be interpreted as a supplementary maturity marker rather than a stand-alone forensic age-estimation tool.

Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.

Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.

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