FDA Clears Updated AI Software for MRI Neuroimaging
Offering enhanced deep learning technology, the updated NeuroQuant 5.0 software reportedly bolsters segmentation capabilities for amyloid-related imaging abnormalities (ARIA) in patients with Alzheimer’s disease.
The Food and Drug Administration (FDA) has granted 510(k) clearance for the updated NeuroQuant® 5.0 software, which offers enhanced magnetic resonance imaging (MRI)-based artificial intelligence (AI) capabilities for assessing patients being treated for Alzheimer’s disease and other neurological conditions.
NeuroQuant 5.0 features advanced segmentation and quantification for amyloid-related imaging abnormalities (ARIA) detected on brain MRI scans of patients being treated with anti-amyloid therapies for Alzheimer’s disease, according to Cortechs.ai, the manufacturer of the software.
The newly FDA-cleared NeuroQuant 5.0 software reportedly features advanced segmentation and quantification for amyloid-related imaging abnormalities (ARIA) for patients with Alzheimer’s disease as well as integration of of susceptibility-sensitive MRI sequences that enhance detection of smaller brain lesions, according to Cortechs.ai, the manufacturer of the software. (Image courtesy of Cortechs.ai.)
The company adds that the deep learning capabilities within NeuroQuant 5.0 facilitate improved visualization of lesions associated with traumatic brain injury (TBI), ARIA-E, ARIA-H and cerebral amyloid angiopathy. Another benefit of the NeuroQuant 5.0 software involves the integration of susceptibility-sensitive MRI sequences that enhance detection of smaller brain lesions, according to Cortechs.ai.
"With this release, we are transforming the way radiologists and neurologists approach neurological evaluations, helping to ensure more accurate and timely diagnoses for patients,” noted Kyle Frye, the chief executive officer at Cortechs.ai.
Study: AI-Generated ADC Maps from MRI More Than Double Specificity in Prostate Cancer Detection
June 5th 2025Emerging research showed that AI-generated ADC mapping from MRI led to significant increases in accuracy, PPV and specificity in comparison to conventional ADC mapping while achieving a 93 percent sensitivity for PCa.
Possible Real-Time Adaptive Approach to Breast MRI Suggests ‘New Era’ of AI-Directed MRI
June 3rd 2025Assessing the simulated use of AI-generated suspicion scores for determining whether one should continue with full MRI or shift to an abbreviated MRI, the authors of a new study noted comparable sensitivity, specificity, and positive predictive value for biopsies between the MRI approaches.
Can AI Assessment of PET Imaging Predict Treatment Outcomes for Patients with Lymphoma?
June 2nd 2025The use of adjunctive AI software with pre-treatment PET imaging demonstrated over a fourfold higher likelihood of predicting progression-free survival (PFS) in patients being treated for lymphoma, according to a new meta-analysis.
FDA Issues Expanded Pediatric Approval of MRI Contrast Agent for Lung Ventilation Assessment
June 2nd 2025Previously approved for MRI lung ventilation evaluation in adults and children 12 and older, the hyperpolarized contrast agent Xenoview can now be utilized for pediatric patients six years and older.
