What is ProFound Breast Health Suite?
iCAD’s ProFound Breast Health Suite is an AI-powered platform designed to assist radiologists and healthcare providers in detecting breast cancer earlier and with greater accuracy from mammography screenings. The suite combines deep learning algorithms trained on millions of images to analyze 2D and 3D mammograms (digital breast tomosynthesis) and provide decision support.
Key Features
- Cancer Detection: Uses AI to identify suspicious lesions and microcalcifications, reducing false positives and reading time by up to 50% for 3D mammograms. It supports concurrent reading workflows and helps prioritize cases.
- Density Assessment: Automatically categorizes breast density consistently following BI‑RADS standards. Reliable density scoring aids in risk stratification and personalized screening recommendations, especially for women with dense tissue where mammography sensitivity is lower.
- Risk Evaluation: An image‑based risk model (CE‑marked and Health Canada licensed; not FDA cleared for clinical use in the US) that analyzes mammographic features to estimate a woman’s short‑term and long‑term risk of developing breast cancer, improving upon traditional questionnaire‑based models.
Use Cases
- Screening mammography in hospitals, imaging centers, and breast clinics.
- Workflow optimization for radiologists by reducing reading time and flagging high‑risk cases.
- Supplemental screening decisions for dense breast patients.
- Retrospective risk assessment to identify missed interval cancers.
Who It’s For
The suite is built for breast imaging radiologists, radiology departments, imaging center networks, and healthcare systems aiming to enhance early detection rates and operational efficiency. Patients indirectly benefit through more accurate screenings and risk‑informed care.
Workflow
ProFound integrates seamlessly with existing PACS and mammography workstations from vendors like Hologic and Intelerad. Deployment options include on‑premise, cloud, or hybrid setups, with rapid implementation and flexible configuration to match clinical protocols.
