AI-MRI combo predicts dementia with 94% accuracy in patients with memory loss


The study included 55 participants, all of whom had been diagnosed with aMCI. On follow-up after initial diagnosis, patients were divided by stable/improved (41) and “declined to dementia” (14). T1 structural MRI was combined with resting state fMRI (rsfMRI), and a support vector machine (SVM) algorithm was applied to the scans.  

T1 alone accurately predicted diagnostic changes with 92.7% accuracy while that number was lower for rsfMRI at 83.5%. Combining both MRI scans with the applied algorithm boosted those numbers up to 94.5%. The greatest changes were noted in the…



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