AI Software for Brain MRI Gets Expanded FDA Clearance for Multiple Sclerosis Assessment
Through AI technology, Neurophet AQUA now provides multiple sclerosis (MS) analysis with a combination of lesion quantification and enhanced segmentation of T2-FLAIR MRI.
The Food and Drug Administration (FDA) has granted expanded 510(k) clearance for multiple sclerosis (MS) assessment with the magnetic resonance imaging (MRI)-based artificial intelligence (AI) software Neurophet AQUA.
Previously FDA-cleared for assessment of brain atrophy on MRI, Neurophet AQUA offers advanced analysis of MS and white matter hyperintensities based off of T2-weighted fluid-attention inversion recovery (FLAIR) MRI, according to Neurophet, the developer of Neurophet AQUA.
Based off brain MRI images, the AI-enabled software Neurophet AQUA reportedly offers quantification of lesions and structural changes associated with multiple sclerosis (MS) and volumetric brain region assessment without the need for 3D T1 images. The Neurophet AQUA software recently garnered expanded FDA 510(k) clearance for MS assessment. (Image courtesy of Adobe Stock.)
The company said key features of the AI-powered software’s MS analysis include:
• precise assessment of lesion count, volume and progression through enhanced quantification of lesions and structural changes;
• volumetric brain region assessment without the need for 3D T1 images; and
• bolstered segmentation of T2-weighted FLAIR images at 2D and 3D on 1.5T and 3T MRI platforms.
"MS is a neurological disorder that heavily relies on MRI for both diagnosis and disease monitoring, and the McDonald criteria, the diagnostic criteria for MS, specifically includes MRI confirmation of lesions disseminated in space and time," said Jake Junkil Been, the co-CEO of Neurophet. "Neurophet AQUA's advanced MS analysis technology significantly enhances efficiency and convenience for healthcare professionals, making it an indispensable tool in both diagnostic and prognostic stages."
Recent Videos
Related Content
MRI Study Suggests Shape of White Matter Hyperintensities May Be Predictive of Cognitive Decline
April 7th 2025Article
Emerging research demonstrated that cognitive declines in memory, executive function and processing speed domains were associated with irregular shape of periventricular/confluent white matter hyperintensities.
Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?
March 21st 2025Article
Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.
