Population Health
SmartMammo™
Breakthrough in Cancer Detection, Faster Interpretation, Integrated into your IT Stack
Enhanced efficiency and accuracy in breast cancer detection
SmartMammo™ is an AI-powered solution designed for seamless integration into existing breast cancer diagnostic workflows, enhancing diagnostic accuracy and workflow efficiency.
Powered by the cloud-native DeepHealth OS, it is effortlessly deployable to ensure smooth interoperability with current systems and technologies, transforming the diagnostic process into a streamlined experience.
SmartMammo™ offers superior accuracy and insight compared to previous breakthrough technologies
DM (2D)
DBT (3D)
SmartMammo™
SmartMammo™ improves clinical and operational workflow
More cancers detected
21%
Increase CDR2
Specialist-level
Performance for
all general
radiologists3
Benefits across diverse populations
23%
More cancers detected in
women with dense breasts2
20%
More cancers detected in
Black/African American women2
Increased productivity and operational efficiency
Instant
Image
streaming
AI-powered workflow
With smart
alerts to prioritize exam review and intelligent worklist sorting
Detect more Cancers more Accurately
AI-powered detection tools provide automatic lesion localization, degree of suspicion, and tissue density scores. The solution raises generalists’ detection rates to specialists’ levels, expanding access to expert-level mammography.
Learn about SmartMammo’s™ capabilities from Jacqueline Holt, MD, FACR Senior Medical Director, New York and Delaware Imaging Network, RadNet.
Book a demoProven success in 230+ screening sites
RadNet’s breast screening program is a breakthrough in detection.
It is powered by DeepHealth solutions, including components of SmartMammo™ that use artificial intelligence to help radiologists detect even subtle lesions.
Combined with exceptionally high-quality mammography systems, RadNet’d breast screening program optimizes breast cancer screening workflow, giving women greater confidence in their results.
1) Lee et al. National Performance Benchmarks for Screening Digital Breast Tomosynthesis: Update from the Breast Cancer Surveillance Consortium. Apr 11 2023 https://doi.org/10.1148/radiol.222499; 2) SmartMammo Dx + Assure used in a safeguard review process improved cancer detection rate by 21% in a study of over 575,000 patients, showing the same benefits across racial subgroups and patients with different breast densities. Data on file; 3) Kim JG. Et. Al. Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists. Radiol Artif Intell. 2024.