Rapid ASPECTS is an AI-powered software that helps doctors analyze CT brain scans to detect and score early signs of ischemic stroke by automatically segmenting brain regions and calculating an ASPECTS score. This aids clinicians in timely and accurate diagnosis, improving stroke assessment especially when expert radiologists are not immediately available.
Rapid ASPECTS is a computer-aided diagnosis (CADx) software device used to assist the clinician in the assessment and characterization of brain tissue abnormalities using CT image data. It provides an automated ASPECT score for patients presenting with known MCA or ICA occlusion to evaluate extent of disease within 6 hours of symptom onset.
Rapid ASPECTS uses a machine learning algorithm based on a random forest technique that automatically registers, segments, and analyzes non-contrast CT brain images by delineating predefined ASPECTS regions of interest to compute morphological features. It outputs an automated ASPECTS score reflecting early ischemic changes, integrates with PACS, and requires physician confirmation of Large Vessel Occlusion detection.
Extensive validation including clinical reader studies with expert neuroradiologists and typical users showed Rapid ASPECTS improves accuracy of ASPECTS scoring, especially for non-expert physicians, achieving statistically significant agreement closer to expert level. Software testing, verification, and validation demonstrated accuracy and conformance to relevant standards including ISO 14971, IEC 62304, and DICOM. The system was robust across clinically relevant parameters.
No predicate devices specified
Submission
3/24/2020
FDA Approval
6/26/2020
Join hundreds of your peers who rely on RadAI Slice. Get the essential weekly briefing that empowers you to navigate the future of radiology.
We respect your privacy. Unsubscribe at any time.