The artificial intelligence (AI)-enabled AIRAscore can reportedly provide quantitative brain volume data within five minutes of assessing brain MRI scans.
The Food and Drug Administration (FDA) has granted 510(k) clearance for AIRAscore, an artificial intelligence (AI)-powered software that may facilitate earlier detection of Alzheimer’s disease and other forms of dementia through quantitative brain volume analysis based on magnetic resonance imaging (MRI) scans.
AIRAMed, the developer of the AIRAscore, said the software provides detailed assessment of lobes and limbic structures in the brain to help detect patterns of neurodegenerative disease and brain volumes that are not age appropriate. The company added that other benefits of the software include auto-segmentation of white matter, cerebrospinal fluid, grey matter and T1 hypointensities.
The AIRAscore findings can be beneficial in detecting and differentiating between Alzheimer’s disease, frontotemporal dementia, and other diseases with patterns of brain volume loss, according to AIRAMed.
“For so long, we’ve been limited to reading a patient’s MRI to detect Alzheimer’s and other dementias. However, we know from several studies that patients with these brain diseases suffer from subtle brain volume loss early in their disease course that cannot be observed with the human eye,” noted Tobias Lindig, M.D., the founder and managing director of AIRAMed. “With AIRAscore, we are now offering physicians a highly precise, quantitative tool for the rapid detection of areas with a brain volume below the normal range.”
FDA Clears Enhanced MRI-Guided Laser Ablation System
June 5th 2025An alternative to an open neurosurgical approach, the Visualase V2 MRI-Guided Laser Ablation System reportedly utilizes laser interstitial thermal therapy (LITT) for targeted soft tissue ablation in patients with brain tumors and focal epilepsy.
Can Abbreviated MRI Have an Impact in Differentiating Intraductal Papilloma and Ductal Secretion?
June 3rd 2025For patients with inconclusive ultrasound results, abbreviated breast MRI offers comparable detection of intraductal papilloma as a full breast MRI protocol at significantly reduced times for scan acquisition and interpretation, according to a new study.
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.