AI RESEARCH
A practical artificial intelligence framework for legal age estimation using clavicle computed tomography scans
arXiv CS.CV
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ArXi:2603.17926v1 Announce Type: new Legal age estimation plays a critical role in forensic and medico-legal contexts, where decisions must be ed by accurate, robust, and reproducible methods with explicit uncertainty quantification. While prior artificial intelligence (AI)-based approaches have primarily focused on hand radiographs or dental imaging, clavicle computed tomography (CT) scans remain underexplored despite their documented effectiveness for legal age estimation. In this work, we present an interpretable, multi-stage pipeline for legal age estimation from clavicle CT scans.