“Trailblazing neuroscientists are igniting a renaissance in health care diagnostics with artificial intelligence (AI). A new University of Michigan study published in Nature Biomedical Engineering showcases a novel AI model called Prima that can diagnose more than 50 brain disorders in seconds from magnetic resonance imaging (MRI) scans with up to 97.5 percent accuracy.
“Here, we utilized a large academic health system as a data engine to develop Prima, the first vision language model (VLM) serving as an AI foundation for neuroimaging that supports real-world, clinical MRI studies as input,” wrote senior author Dr. Todd Hollon, a neurosurgeon at University of Michigan Health and assistant professor of neurosurgery at University of Michigan Medical School, along with co-authors Yiwei Lyu, Samir Harake, Asadur Chowdury, Soumyanil Banerjee, Rachel Gologorsky, Shixuan Liu, Anna-Katharina Meissner, Akshay Rao, Chenhui Zhao, Akhil Kondepudi, Cheng Jiang, Xinhai Hou, Rushikesh S. Joshi, Volker Neuschmelting, Ashok Srinivasan, Dawn Kleindorfer, Brian Athey, Vikas Gulani, Aditya Pandey, and Honglak Lee.
The Brain and Beyond
According to University of Michigan neuroscientists, not only can their AI vision language model diagnose neurological disorders from MRI scans with high performance accuracy, but it also has foundation model capabilities, making it a flexible, general-purpose solution that can be tailored for a wide variety of medical imaging.”