Clinical algorithm SecondLook®

for mammographydiagnosticanalysis

Developed for 2D mammography, SecondLook’s Detection solution automatically marks suspicious lesions, identifying potential cancers and microcalcifications. The solution provides the radiologist with a “second look” which helps detect actionable missed cancers earlier than screening mammography alone, providing workflow enhancements and improved efficiency. Clinical Confidence Superior cancer detection drives improved outcomes Reduced false positives improves patient satisfaction Earlier cancer detection improves treatment options Operational Superiority ~52.7 reduction in radiologist reading time 6-7% improvement in radiologist AUC performance Faster image processing vs. other AI solutions Competitive Differentiation Differentiate your center with the most advanced clinical technology Enhanced patient satisfaction with improved screening service Aligns to quality improvement and accreditation programs How the Algorithm works. The ProFound AI algorithm is a highly accurate and clinically proven early cancer detection tool designed to be used concurrently while reading mammogram images. The algorithm has undergone extensive training using one of the most comprehensive 3D image datasets available. Developed from: 6+ million training images ~8,000 biopsy-proven cancers 100+ contributing centers ensuring data diversity A comprehensive ally to cancer detection: Powered by deep-learning technology, the algorithm leverages convolutional neural networks for image processing and pattern recognition. It meticulously examines mammography slices to localize, segment, and classify areas that warrant attention.