Intended Use

BriefCase-Quantification of Midline Shift (MLS) is a radiological image management and processing system software intended for automatic measurement of brain midline shift in non-contrast head CT (NCCT) images, in adults or transitional adolescents aged 18 years and older.

Technology

The software is a single module AI deep-learning algorithm running on a Linux-based cloud server, processing filtered DICOM NCCT images to quantify midline shift. It outputs measurements and annotated images to PACS or desktop applications, providing reports with slice previews and comparative analysis over time.

Performance

A retrospective, blinded, multicenter study on 284 cases from 228 patients showed the mean absolute error of the AI's midline shift measurement compared to neuroradiologist ground truth was 0.94 mm, meeting prespecified performance goals. Bland-Altman analysis indicated little bias. Multiple time point testing also met performance goals.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    7/13/2023

    4 months
  • 2

    FDA Approval

    11/13/2023

Other devices from Aidoc Medical, Ltd.

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