InferRead CT Stroke.AI is an AI-powered software that helps hospitals and radiologists prioritize head CT scans by flagging suspected intracranial hemorrhage cases. It analyzes CT images using a deep learning algorithm and highlights potential emergency cases on a worklist, assisting clinicians in faster triage. The software operates alongside standard radiology workflows without altering images or removing cases, improving efficiency in detecting brain hemorrhages.
Radiological computer aided triage and notification software for use in the analysis of Non-Enhanced Head CT images. Intended to assist hospital networks and trained radiologists in workflow triage by flagging suspected positive findings of intracranial hemorrhage (ICH).
The software runs a deep learning artificial intelligence algorithm on non-enhanced head CT DICOM image series. It operates on an onsite hospital server with client workstations. It detects suspected intracranial hemorrhage cases, marking them in a worklist for prioritization; the system processes series in order and provides a preview (not for diagnosis). The device does not alter original images or remove cases from the reading queue.
Clinical testing on 369 non-contrast brain CT scans from US hospitals showed sensitivity of 91.6% and specificity of 92.2% for intracranial hemorrhage detection, exceeding preset performance goals. The area under the ROC curve was 0.962. Average time to notification was 1.07 minutes, significantly faster than the standard of care time-to-opening exam of over 75 minutes. The study demonstrated the device is safe and effective for triage support.
No predicate devices specified
Submission
4/20/2021
FDA Approval
8/12/2021
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.