- 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.
MRI or Ultrasound for Evaluating Pelvic Endometriosis?: Seven Takeaways from a New Literature Review
September 13th 2024While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.
Can Radiomics and Autoencoders Enhance Real-Time Ultrasound Detection of Breast Cancer?
September 10th 2024Developed with breast ultrasound data from nearly 1,200 women, a model with mixed radiomic and autoencoder features had a 90 percent AUC for diagnosing breast cancer, according to new research.
