Unlike other AI models, BrainIAC needs limited data to ID key neurological health indicators A new AI foundation model has been developed that can accurately extract multiple disease risk signals from routine brain MRIs, including: estimating a person's "brain age"; predicting dementia risk; detecting brain tumor mutations; and predicting survival from brain cancer, according to investigators from Harvard-affiliated Mass General Brigham.

A study funded by the National Institutes of Health (NIH) provides the clearest evidence to date to link severe chronic traumatic encephalopathy (CTE) to dementia risk.