Quality Images. Precise Detection. Elevated Patient Care.
Patients are more informed than ever and are actively seeking breast health care providers who use cutting edge technology to help improve mammography quality and breast cancer screening effectiveness. As patient volumes surge and health facilities face a critical shortage of radiologists and technologists, imaging centers often face the growing...
Essentials of an AI-Powered Mammography Solution
An AI solution needs to exceed a baseline standard of functionality to be considered. It’s important how the algorithm is trained, validated, and in compliance with world-wide regulations. Ask about features for early detection, density assessment, and near-term image-based breast cancer risk evaluation (in the next one or two years)...
Common Questions Asked when Adopting AI in Radiology
Moving from Computer-Aided Detection (CAD) to AI-powered mammography represents a significant technological advancement in breast imaging. CAD systems, introduced in the late 1990s, were designed to highlight areas of interest on mammograms that radiologists would then review for potential abnormalities. CAD programs weren’t nearly as sensitive or accurate as today’s...
Identify Need for an AI-Powered Mammography Solution
Breast cancer remains a significant health concern globally, and as imaging centers strive to deliver the highest standard of care, incorporating AI into mammography workflows, emerges as a game-changing solution. This article explores the crucial business needs imaging centers face, compelling them to consider the adoption of cutting-edge AI technology...
Joining Forces with Google to Revolutionize Breast Cancer Screening Worldwide
by Dana Brown, President and CEO of iCAD, Inc. We’ve joined forces with Google Health once again to address two of the most pressing challenges in healthcare: the global radiologist shortage and significant disparities in healthcare. Per our 20-year worldwide agreement, Google’s AI technology will seamlessly integrate into our ProFound...
Ten Factors to Consider When Selecting an AI Vendor for Breast Imaging
Manually reviewing breast images for small abnormalities in a deluge of hundreds of mammographic images can mean long days for radiologists, which can lead to reader fatigue and increase the potential for missed cancers. False positives from older 2D computer-aided detection (CAD) technologies result in unnecessary biopsies, which are not...