AIdentifyAGE Ontology for Decision Support in Forensic Dental Age Assessment

This paper introduces the AIdentifyAGE ontology, a domain-specific, standardized, and semantically coherent framework designed for forensic dental age assessment. It integrates both manual and AI-assisted workflows, ensuring traceable linkage between observations, methods, reference data, and reported outcomes in forensic and judicial decision-making, which is crucial for cases involving undocumented individuals and unaccompanied minors.