Researchers from VUNO published a peer-reviewed study in the American Journal of Neuroradiology validating a machine learning algorithm that uses automated brain MRI volumetry to differentiate frontotemporal dementia from Alzheimer's disease. The model, trained on 758 subjects and externally validated on 89 subjects, achieved 91.4 percent accuracy internally and significantly reduced interpretation time for experienced radiologists.
Our readClinical leaders and radiology buyers evaluating dementia triage solutions gain peer-reviewed validation of VUNO's MRI volumetry approach. The demonstrated time savings and diagnostic accuracy support the commercial deployment of such models in clinical workflows to separate overlapping neurodegenerative presentations.