Artificial Intelligence Used to Predict Onset of Alzheimer's

The classifiers can be represented as discrimination maps, where a red color indicates that the intensity at that location contributes to the likelihood of the images belonging to the more advanced stage, and a blue color to the likelihood of belonging to the less advanced stage. Weights are shown inside the mask that resulted in the highest accuracies for each classification: A: Alzheimer's disease (AD) vs. subjective cognitive decline (SCD); B: AD vs. mild cognitive impairment (MCI); C: MCI vs. SCD. At the VU University Medical Center Amsterdam researchers are harnessing the power of artificial intelligence to be able to detect early signs of Alzheimer's on MRI scans. The parenchyma exhibits small incremental changes on the scan as the disease develops, but these are difficult to spot in new patients. Only once the disease is at a later stage clinicians are able to identify the disease from the scans, but by then it's usually already exhibiting well known symptoms.