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FDA Clears AI-Powered MRI Software for ARIA Detection in Patients with Alzheimer’s Disease
Icobrain.aria is reportedly the first AI software geared toward the detection and monitoring of amyloid-related imaging abnormalities (ARIAs) on brain MRI.
The Food and Drug Administration (FDA) has granted 510(k) clearance for icobrain.aria, an artificial intelligence (AI)-enabled software that may enhance the detection of amyloid-related imaging abnormalities (ARIAs) on brain MRI for patients being treated for Alzheimer’s disease.
Noting that ARIAs have been associated with recently approved disease-modifying agents for Alzheimer’s disease, Icometrix, the developer of icobrain.aria, said icobrain.aria is the first AI software dedicated to the diagnosis and monitoring of ARIAs in this patient population.
The images above reveal severe ARIA-E in a patient who presented with parenchymal edema. The AI-enabled software icobrain.aria, which was recently cleared by the FDA, demonstrated a 16 percent increase in sensitivity for ARIA-E and a 10 percent increase in sensitivity for ARIA-H, in a retrospective study published earlier this year in JAMA Network Open. (Images courtesy of JAMA Network Open.)
In a retrospective study published earlier this year in JAMA Network Open, icobrain.aria demonstrated a 16 percent increase in sensitivity for ARIA-E and a 10 percent increase in sensitivity for ARIA-H.
“New standardized tools are needed … to assist radiologists and treating clinicians in detecting and managing ARIA to optimize patient safety. I am excited that icobrain.aria has received FDA approval, clearing the way for wider use in clinical practice,” noted Stephen Salloway, M.D., the director of neurology and the Memory and Aging Program at Butler Hospital in Providence, R.I.
Can AI Bolster Breast Cancer Detection in DBT Screening?
January 16th 2025In sequential breast cancer screening with digital breast tomosynthesis (DBT), true positive examinations had more than double the AI case score of true negative examinations and the highest positive AI score changes from previous exams, according to new research.
Can Generative AI Facilitate Simulated Contrast Enhancement for Prostate MRI?
January 14th 2025Deep learning synthesis of contrast-enhanced MRI from non-contrast prostate MRI sequences provided an average multiscale structural similarity index of 70 percent with actual contrast-enhanced prostate MRI in external validation testing from newly published research.
Can MRI-Based AI Enhance Risk Stratification in Prostate Cancer?
January 13th 2025Employing baseline MRI and clinical data, an emerging deep learning model was 32 percent more likely to predict the progression of low-risk prostate cancer (PCa) to clinically significant prostate cancer (csPCa), according to new research.
