"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. "These results demonstrate that Prima has foundation model properties, and reported performance will continue to improve with additional health system training data and larger compute budgets," wrote the study's authors in the preprint."
""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,"
Prima is a vision-language model that diagnoses more than 50 brain disorders from magnetic resonance imaging (MRI) scans in seconds, reaching up to 97.5 percent accuracy. Prima accepts real-world clinical MRI studies as input and functions as an AI foundation model for neuroimaging. Foundation-model capabilities enable flexible, general-purpose adaptation across diverse medical imaging tasks and allow continued performance gains with additional health-system training data and larger compute budgets. Prima streamlines diagnostic workflows, supports rapid clinical decision making, and offers scalable potential to expand diagnostic coverage and improve accuracy across neuroimaging applications.
Read at Psychology Today
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