MedCognetics Launches First Embedded AI Cancer Detection System for Mammography

MedCognetics, Inc. announced the successful testing and implementation of the first embedded AI image processing and cancer detection system for mammography, utilizing the NVIDIA IGX Orin medical-grade edge AI platform alongside the company's CogNet AI-MT software. This integration allows AI-driven image enhancement and cancer detection to occur in real-time within the mammography device itself, eliminating latency and delivering immediate, high-quality image analysis without requiring external workstations or cloud-based processing.

The embedded solution represents a significant advancement over traditional setups, providing several key benefits including rapid on-premises analysis within radiology workflow, enhanced image quality through AI-driven improvements, and immediate results that reduce patient wait times. According to Debasish Nag, CEO of MedCognetics, embedding their software directly into mammography equipment enables enhanced image quality and immediate cancer detection without costly hardware upgrades, making high-quality diagnostic tools more accessible to radiologists and imaging centers worldwide.

The NVIDIA IGX Orin platform provides the enterprise-level hardware, software, and support required for industrial and medical edge computing, delivering the performance, durability, security, and safety needed for advanced AI applications. This collaboration enables medical device manufacturers to achieve high-end image quality at a fraction of the cost by utilizing AI rather than upgrading hardware, while also enabling worklist prioritization and clinic-determined workflow optimization to enhance radiologists' accuracy and efficiency.

Earlier this year, MedCognetics was awarded a groundbreaking patent by the United States Patent and Trademark Office for its inclusive, unbiased medical imaging AI technology in mammography. The company's expertise in embedded engineering, combined with the NVIDIA platform, is positioned to significantly advance medical imaging technology by integrating AI directly into medical devices to enhance diagnostic capabilities and patient care. For additional information about this technology, visit MedCognetics' website.