A groundbreaking study in NPJ Digital Medicine demonstrates the superior accuracy of AI-based imaging in diagnosing and monitoring multiple sclerosis.
By Dr. Priyom Bose, Ph.D.Oct 23 2023Reviewed by Benedette Cuffari, M.Sc. A recent Npj Digital Medicine study assesses the accuracy and effectiveness of artificial intelligence -based imaging techniques to diagnose multiple sclerosis .
Inflammatory activity is a major pathological substrate that reduces relapse-associated worsening . The response of MS patients to DMT is annually assessed through magnetic resonance imaging . Related StoriesChanges in brain volume during 12-month intervals between MRI scans are small and might not be determined through visual inspection. The inability to identify short-term changes in brain volume is a significant cause of adverse trajectories linked to MS outcomes and influences clinical decisions to change or escalate DMT.
Brain scans were analyzed by iQ-Solutions™ in Digital Imaging and Communications in Medicine format by a collection of AI algorithms based on deep neural network technology. The AI-based algorithms were designed based on 8,500 brain scans that were expertly annotated by skilled neuroimaging analysts.
The lesion activity of different time points was measured by iQ-Solutions, indicating the development of new and enlarging lesions. Moreover, iQ-MS revealed enlarging lesions as new lesioned voxels that are connected to existing lesions reported in a previous study within its 26-voxel neighborhood.
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