Maintain, if not increase your clinical performance¹

The iCAD reader study shows not only increased sensitivity, but most importantly specificity, which means that ProFound AI performs better than conventional 2D CAD with regard to false positives¹.

iCAD Reader Study results²

An iCAD reader study showed up to 50% reduction in reading time when using ProFound AI compared to without, while increasing sensitivity up to 8% and, most importantly, specificity up to 6,9%2 which means that ProFound AI encompasses the limitations of 2D CAD with regards to False Positive rate. The same study also reports a decrease in recall rate up to 7,2%.

Leverage the power of AI
to help you reduce your DBT reading time

  • Case scores are integrated to the worklist.

    A Case Score is assigned to each case by the ProFound AI algorithm. The Case Score represents how confident the algorithm is that a case is malignant, taking into account all detections in the case.

    ProFound AI displays the case scores in the worklist.

  • Markers to help identify microcalcifications, masses and architectural distortions.

    The ProFound AI deep learning algorithm reads all DBT planes and subsequently reports microcalcifications, masses and architectural distortions. ProFound AI also displays markers or areas of interest in different DICOM formats that can be shown on a Seno Iris and PACS workstations.

Seamless integration on Seno Iris™ SP3

GE Mammography

1. Compared to reading without ProFound AI. iCAD labelling and user manual, DTM160 rev C.
2. CAD labeling and User Manual DTM160 Rev.C. Reading times may vary based on the specific functionality of the viewing application used for interpretation.

Product may not be available in all countries and regions.
Full product technical specification is available upon request.
GE, the monogram, Senographe Pristina, Seno Iris are trademarks of General Electric Company.
iCAD, the iCAD logo and ProFound AI, are trademarks of iCAD, Inc.

JB01391IN

WIPRO GE HEALTHCARE PVT LTD
No. 4, Kadugodi Industrial Area,
Bangalore 560067,
Karnataka, India
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