Intended Use

A device designed to be used in the medical care environment to aid in triage and prioritization of studies with features suggestive of mass effect. It analyzes non-contrast brain CT studies using an AI algorithm and provides study-level output to order and imaging management systems for worklist prioritization or triage.

Technology

Software workflow tool using a convolutional neural network AI algorithm trained via deep learning on diverse non-contrast brain CT data. Interfaces with PACS/RIS to process studies and inject prioritization notifications into worklists parallel to standard clinical workflow.

Performance

The device performance was validated in a standalone retrospective study with 626-762 adult brain CT cases, annotated by board-certified neuroradiologists, showing high sensitivity (up to 97%) and specificity (up to 92.9%) for detecting mass effect. Triage effectiveness testing demonstrated turnaround time comparable to predicate devices, supporting safety and effectiveness.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    5/12/2023

    4 months
  • 2

    FDA Approval

    9/22/2023

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