Through artificial intelligence (AI) assessment of non-contrast computed tomography (CT) scans, the Brainomix 360 e-ASPECTS software provides an automated ASPECTS score and heatmap to enhance stroke imaging.
The Food and Drug Administration (FDA) has granted 510(k) clearance for the Brainomix 360 e-ASPECTS software (Brainomix), which provides adjunctive artificial intelligence (AI) assessment of computed tomography (CT) scans of the brain and automated scoring with the Alberta Stroke Program Early CT score (ASPECTS) system.
As part of the Brainomix 360 stroke platform, which emphasizes real-time AI-enabled interpretation of brain imaging in stroke patients, the e-ASPECTS software provides enhanced heatmap visualization and automated ASPECTS scoring based on non-contrast CT scans, according to Brainomix.
The company said recent studies have demonstrated the stroke imaging platform’s ability to reduce door-in door-out times and reportedly triple the number of patients regaining functional independence after stroke.
“Our e-ASPECTS tool has been shown, in multiple countries and healthcare systems, to improve physicians’ interpretations of ASPECTS scores on non-contrast CT scans … ,” noted Michalis Papadakis, CEO and co-founder of Brainomix. “Our technology supports these physicians who are making time-sensitive, critical decisions around transfer and treatment, strengthening networks and facilitating an improved stroke service.”
(Editor’s note: For related content, see “Portable MRI System Gets FDA Nod for AI-Powered Brain Imaging Software” and “TeraRecon Launches AI-Driven Neuroimaging Platform.”)
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.