The model was trained on tens of thousands of scans from children and teenagers. So it learned signatures of maturation invisible to the naked eye.
As key brain structures develop in adolescence, the model notes parallel changes. This suggests it captures biologically meaningful trajectories.
In the future, the team aims to connect brain age estimates to real cognitive test outcomes. This would reveal whether abnormal brain age gaps indeed reflect issues like lagging IQ or memory.