AI Model Diagnoses Brain MRIs in Seconds

AI Model Diagnoses Brain MRIs in Seconds

https://www.technologynetworks.com/tn/news/this-ai-model-can-diagnose-a-brain-mri-in-seconds-409440

Publish Date: 2026-02-09 06:01:00

Source Domain: www.technologynetworks.com

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests.

The model detected neurological conditions with up to 97.5% accuracy and predicted how urgently a patient required treatment.

Researchers say the first-of-its-kind technology could transform neuroimaging at health systems across the United States.

The results are 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.

Hollon calls the invention Prima. He and his research team tested the technology on more than 30,000 MRI studies over the course of a year.

Across more than 50 radiologic diagnoses from major neurological disorders, Prima outperformed other state-of-the-art AI models on diagnostic performance.

The model also succeeded in determining which cases should take higher priority.

Some neurological conditions, such as brain hemorrhages or strokes, require immediate medical attention. In such cases, Prima can automatically alert providers so rapid action can be taken, Hollon says.

Researchers designed the model to recommend which subspecialty provider should be alerted, such as a stroke neurologist or neurosurgeon, with feedback available immediately after a patient completes imaging.

“Accuracy is paramount when reading a brain MRI, but quick turnaround times are critical for timely diagnosis and improved outcomes,” said Yiwei Lyu, M.S., co-first author and postdoctoral fellow of Computer Science and Engineering at U-M.

“At key steps in the process, our results show how Prima can improve workflows and streamline clinical care without abandoning accuracy.”

What is Prima?

Prima is a…

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