ProFound AI is a high-performance, deep-learning workflow solution trained to detect malignant soft-tissue densities and calcifications. With thousands of installations around the world, ProFound AI offers multi-vendor compatibility and seamlessly integrates into the diagnostic process.
in sensitivity-52.7%reduction in reading
time for radiologists-7%
reduction in rate
ProFound AI for DBT Improves Accuracy and Efficiency1
Click on the video to see the evolution of the performance of each radiologist in the reader study. Each radiologist is represented by a circle.
Case Scores are assigned to each case by the algorithm. These represent the algorithm's confidence that a case is malignant, on a scale between 0% to 100%.
A Certainty of Finding score is assigned to each lesion identified by ProFound AI. From 0% to 100%, it represents the algorithm’s confidence that the lesion is malignant.
85% Certainty of Finding48% Certainty of Finding
97% Certainty of Finding43% Certainty of Finding
Watch Dr Gräwingholt presenting his retrospective study on interval cancers in a screening population.
ProFound AI® Risk is the first and only clinical decision support tool that provides an accurate two-year, breast cancer risk estimation that is truly personalized for each woman.
Watch Prof. Per Hall explain how ProFound AI Risk can improve breast screening programs to detect breast cancer as early as possible.
Clinical Case Study
Axel Gräwingholt, MD, Head of the Mammography department at Radiologie am Theater used ProFound AI for 2D mammography, for tomosynthesis and ProFound AI Risk to retrospectively analyze a patient whose breast cancer could have been detected earlier if ProFound AI and ProFound AI Risk were available, applied, and used as a decision tool for supplemental screening.
ProFound AI for 2D mammography and Tomosynthesis runs on the industry-leading PowerLook® server platform with NVIDIA® Graphical Processing Units (GPU), the latest in powerful GPU technology. PowerLook is a flexible and reliable DICOM platform that easily integrates with image modalities, mammography review workstations, PACS, and image storage systems. Leveraging the latest in GPU technology, the algorithm can rapidly process a 4-view tomosynthesis case, ensuring results are available to radiologists in the most efficient manner.
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