
Artificial intelligence is adding new luster to the old-fashioned EEG brain scan, increasing the potential usefulness of the century-old medical test, a new report says. The EEG, or electroencephalogram, tracks brain activity through a dozen or more electrodes stuck to the scalp. It is often used to detect epilepsy. But the test’s squiggly waves are difficult to interpret, so doctors have leaned on other, more expensive options like MRI or CT scans to spot early signs of dementia and Alzheimer’s disease, researchers said. However, AI can be taught to look for abnormal brain patterns in EEGs that are too subtle for humans to detect, a new study says. AI-guided EEGs could one day help doctors distinguish between different cognitive diseases like Alzheimer’s or Lewy body dementia, researchers write in the journal Brain Communications. “There’s a lot of medical information in these brain waves about the health of the brain in the EEG,” senior researcher Dr. David Jones, director of the Mayo Clinic Neurology AI Program, said in a news release. “It’s well-known that you can see these waves slow down and look a bit different in people who have cognitive problems.” For the study, researchers had AI analyze EEG data from more than 11,000 patients who received the scan at the Mayo Clinic over the course of a decade. The AI was taught to simplify… read on > read on >