A deep-learning algorithm that analyzed FDG-PET was able to differentiate between normal cognition and dementia. Such models could someday help radiologists diagnose Alzheimer’s disease, especially if they don’t see the condition often, according to a study presented at the RSNA 2017 meeting.
