Science, Space and Technology News 2024
Mayo Clinic scientists are leveraging artificial intelligence and machine learning to enhance the analysis of electroencephalogram tests, facilitating early detection of dementia.
By analyzing brain wave patterns more precisely, AI reveals subtle signs of cognitive decline that experts may miss. This development, based on data from over 11,000 patients, shows potential for EEGs to become a more accessible diagnostic tool for cognitive issues, especially in underserved areas.to analyze electroencephalogram tests more quickly and precisely, enabling neurologists to find early signs of dementia among data that typically go unexamined.
“There’s a lot of medical information in these brain waves about the health of the brain in the EEG,” says senior author David T. Jones, M.D., a neurologist and director of NAIP. “It’s well known that you can see these waves slow down and look a bit different in people who have cognitive problems. In our study, we wanted to know if we could accurately measure and quantify that type of slowing with the aid of AI.
“Right now, one common way that we quantify patterns in medical data is by expert opinion. And how do we know that the patterns are present? Because that expert tells you they’re present,” Dr. Jones says. “But now with AI and machine learning, not only do we see things that the expert can’t see, but the things they can see, we can put a precise number on.
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