A newly developed artificial intelligence system from the University of Michigan can analyze brain MRI scans and deliver a diagnosis in a matter of seconds, according to a new study. The model identified neurological conditions with accuracy reaching 97.5% and was also able to assess how urgently patients needed medical care.
Researchers say this first-of-its-kind technology has the potential to reshape how brain imaging is handled across health systems in the United States. The findings were published in Nature Biomedical Engineering.
“As the global demand for MRI rises and places significant strain our physicians and health systems, our AI model has potential to reduce burden by improving diagnosis and treatment with fast, accurate information,” said senior author Todd Hollon, M.D., a neurosurgeon at University of…