Reading digital breast tomosynthesis (DBT) cases means being able to accurately interpret extensive amounts of data. Clinicians are confronted by the workload and time required to accurately read the data contained in DBT cases.
ProFound AI® is raising the bar on detection performance. It is a high-performing, concurrent-read, cancer-detection and workflow solution that rapidly and accurately analyzes each tomosynthesis image, detecting both malignant soft tissue densities and calcifications with unrivaled accuracy.
8% improvement in sensitivity7% reduction in rate of recalls52.7% reduction in reading time for radiologists
Up to 10% improvement in specificity performanceUp to 1% improvement in sensitivityUp to 40% faster processing
Assists in early detection, which can lead to improved outcomes
Reduces false positives/recalls
Improves detection accuracy
Enhances patient care with improved detection technology
Improves workflow efficiency
Increases diagnostic confidence
Supports mixed tomosynthesis environments
ProFound AI for DBT 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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The ProFound AI algorithm rapidly and accurately analyzes each individual image or slice and identifies potentially malignant lesions. Trained with one of the largest available 3D image datasets, ProFound AI provides radiologists with crucial information, such as lesion Certainty of Finding and Case Scores, which assists in prioritizing caseload, clinical decision-making and may help to reduce physician burnout.
ProFound AI for Digital Breast Tomosynthesis (DBT) is FDA cleared to offer superior performance and sensitivity to support radiologists in the fight against breast cancer with an unrivaled accuracy of detection.