AID – AgE

CA24147 – Artificial Intelligence Driven Dental AgEstimation Network (AID-AgE)

About project

Accurate estimation of biological age is essential in clinical and forensic fields, particularly in legal medicine, pediatrics, and orthodontics. Dental age estimation, involves several methods that rely on the analysis of teeth development, structure, and wear. Current dental age estimation techniques while effective, exhibit significant variability due to the lack of standardization and interindividual differences. This variability can result in inconsistent and sometimes unreliable outcomes, which may carry serious legal and clinical consequences.

Group photo from the kick off meeting in Brussels on October 30, 2025