What You Should Know:
– MedCognetics, Inc., a company focusing on medical imaging AI, today announced the successful testing and implementation of the first embedded AI image processing and cancer detection system for mammography.
– The system utilizes the NVIDIA IGX OrinTM medical-grade edge AI platform alongside MedCognetics’ advanced AI-enabled software, CogNet AI-MT, which was developed in collaboration with clinical leaders worldwide. CogNet AI-MT has been trained on a diverse global dataset to enhance the performance of radiologists and help improve patient outcomes worldwide.
MedCognetics’ CogNet AI-MT: Transforming Medical Imaging with AI-Driven Solutions
MedCognetics introduces CogNet AI-MT, a component of its comprehensive CogNet AI platform, designed to enhance radiologists’ capabilities by leveraging advanced AI and machine learning (ML) technology. This platform, trained on a diverse global dataset, improves the performance of radiologists and imaging centers, offering precise diagnostic support for patients worldwide. With FDA 510(k) clearance for triage of mammogram images, CogNet AI-MT is optimized for detecting early signs of cancer across all ethnicities and can be deployed on-premises, in the cloud, or via the web.
The incorporation of MedCognetics’ embedded AI system directly into mammography devices enables real-time image enhancement and cancer detection. This approach significantly reduces latency by eliminating the need for external workstations or cloud processing, offering immediate and high-quality image analysis. This real-time solution promises to enhance patient outcomes through faster diagnostics, improved image quality, and reduced hardware costs.
MedCognetics’ AI solution operates on the NVIDIA IGX Orin platform, which is purpose-built for industrial and medical edge computing. The platform delivers enterprise-level performance, durability, security, and safety, making it ideal for advanced AI applications. With programmable safety extensions, commercial OS support, and robust AI software, the platform ensures secure and efficient AI deployment, fostering improved collaboration between humans and machines.
Key Benefits of MedCognetics’ Embedded AI System:
– On-Premises Device: Delivers rapid and comprehensive analysis directly within the radiology workflow.
– Enhanced Image Quality: AI-driven enhancements produce clearer, more detailed images without the need for costly hardware upgrades.
– Immediate Results: On-device processing provides instant analysis, minimizing wait times.
– Cost Efficiency: Enables high-end image quality at a lower cost by using AI to enhance existing hardware.
– Workflow Optimization: Supports worklist prioritization and workflow customization, improving radiologist accuracy and efficiency.
– Easy Upgrades and Maintenance: Software-based solutions allow for simple updates, reducing the need for frequent hardware changes.
Earlier this year, MedCognetics received a landmark patent from the United States Patent and Trademark Office (USPTO) for its inclusive, unbiased AI technology in mammography. This advancement, alongside its partnership with the NVIDIA IGX platform, highlights the company’s commitment to enhancing medical imaging technology and improving diagnostic capabilities through AI.
“Embedding our CogNet AI-MT software directly into mammography imaging equipment means we can enhance image quality and provide immediate cancer detection without the need for costly hardware upgrades,” said Debasish “Ron” Nag, CEO of MedCognetics. “Using the NVIDIA IGX platform, we’re advancing medical imaging technology, making high-quality diagnostic tools more accessible to radiologists and imaging centers around the world.”
