- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
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.
Mammography Study Suggests DBT-Based AI May Help Reduce Disparities with Breast Cancer Screening
December 13th 2024New research suggests that AI-powered assessment of digital breast tomosynthesis (DBT) for short-term breast cancer risk may help address racial disparities with detection and shortcomings of traditional mammography in women with dense breasts.
