This AI can read a brain MRI in seconds, spot emergencies instantly, and may redefine how neurological care is delivered.
Researchers at the University of Michigan have developed an artificial intelligence system that can analyze brain MRI scans and deliver a diagnosis in just seconds, according to a new study. The model identified neurological conditions with accuracy reaching 97.5 percent and was also able to determine how urgently patients needed medical care.
The research team says the technology represents a major advance in neuroimaging and could significantly change how hospitals across the United States interpret brain scans. 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 Michigan Health and assistant professor of neurosurgery at U-M Medical School.
