"The Profound AI Risk model performs better than any other current model," according to Per Hall, MD, Professor/Senior Physician at the Karolinska Institutet. "The model is a short-term risk model which is an advantage in the screening setting, builds heavily on analyses of mammograms, is easy and inexpensive to implement and has little requirement of staff and systems to manage the data. Further, the risk model was also tested using other variables, such as lifestyle factors and genetic determinants, which may be added to the iCAD product in the future."

Compelling research published in the peer-reviewed journal, Radiology, reveals that ProFound AI Risk significantly outperforms existing breast cancer risk models.


Trained with one of the largest available DBT datasets, ProFound AI rapidly and accurately analyzes each DBT image, or slice, and provides radiologists with key information, such as Certainty of Finding lesion and Case Scores, which assists in clinical decision-making and improving reading efficiency. Featuring the latest in deep-learning artificial intelligence, the algorithm allows for continuously improved performance in detection via ongoing updates. ProFound AI for DBT and 2D mammography* is compatible with a majority of leading DBT and digital 2D mammography systems.


About iCAD, Inc.
Headquartered in Nashua, NH, iCAD is a global medical technology leader providing innovative cancer detection and therapy solutions.

ProFound AI for DBT is proven to curtail workflow challenges substantially by reducing radiologists' reading time by 52.7 percent, thereby reducing by half the amount of time it takes radiologists to read 3D mammography datasets. Additionally, the platform improved radiologists' sensitivity by 8 percent and reduced unnecessary patient recall rates by 7 percent.[i]

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