Researchers at the University of Michigan have developed an artificial intelligence system that interprets brain MRI scans in seconds.[1][4] The system accurately identifies a wide range of neurological conditions and determines cases requiring urgent care.[1][5] The model was trained on hundreds of thousands of real MRI scans along with patient histories.[1] It achieved an accuracy of up to 97.5 percent and outperformed other advanced AI tools.[1] The technology can detect neurological diseases with an accuracy of up to 97 percent.[2][3] The system can signal emergencies such as bleeding in the brain or stroke.[2][3] This AI model accelerates the diagnosis and triage of patients with neurological problems.[1][5]