MedCognetics Introduces the First Embedded AI Cancer Detection System for Mammography Imaging | News Direct

MedCognetics Introduces the First Embedded AI Cancer Detection System for Mammography Imaging Advancing Medical Imaging with Real-Time, AI-Enhanced Image Processing, Powered by NVIDIA IGX OrinTM

News release by MedCognetics

facebook icon linkedin icon twitter icon pinterest icon email icon Dallas, Texas | October 10, 2024 11:15 AM Eastern Daylight Time

 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.

Incorporating MedCognetics’ new system would allow for AI-driven image enhancement and cancer detection to occur in real-time within the mammography device itself. The embedded solution eliminates latency, delivering immediate, high-quality image analysis, a significant improvement over traditional setups that require external workstations or cloud-based processing. This approach is poised to improve patient outcomes through faster results, enhanced image quality and reduced hardware costs.

“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.”

The NVIDIA IGX Orin platform combines enterprise-level hardware, software, and support. It is purpose-built for industrial and medical edge computing. The platform delivers the performance, durability, security, and safety required for advanced AI applications and features programmable safety extensions, commercial OS support, and powerful AI software. These capabilities, equip organizations to confidently deploy AI safely and securely for enhanced human and machine collaboration.

The embedded AI system developed by MedCognetics offers several key benefits:

  1. On-Premises Device: Rapid, complete analysis right in the radiology workflow.
  2. Enhanced Image Quality: AI-driven enhancements improve the clarity and detail of images without requiring high-end, expensive hardware.
  3. Immediate Results: Processing occurs within the device, providing instant analysis and reducing the wait time for results.
  4. Cost Efficiency: Medical device manufacturers can achieve high-end image quality at a fraction of the cost by utilizing AI rather than upgrading hardware.
  5. Workflow Optimization: Enables worklist prioritization and clinic-determined workflow optimization, enhancing the accuracy and efficiency of radiologists and imaging centers.
  6. Easy Upgrades and Maintenance: Software-based solutions are easier to update and maintain, helping to ensure that medical imaging equipment remains cutting-edge without frequent hardware replacements.

Earlier this year, MedCognetics was awarded a groundbreaking patent by the United States Patent and Trademark Office (USPTO) for its inclusive, unbiased medical imaging AI technology in mammography. Its expertise in embedded engineering, combined with the NVIDIA IGX platform, is poised to significantly advance medical imaging technology. This work underscores the importance of integrating AI into medical devices to enhance diagnostic capabilities and patient care.

For more information about this new embedded AI cancer detection system, visit here.

About CogNet AI-MT®

CogNet AI-MT is part of MedCognetics' comprehensive CogNet AI™ platform, designed to enhance radiologists' capabilities by expanding insights and awareness in medical imaging. This unbiased platform, trained on a diverse global dataset, advances the performance of radiologists and imaging centers, delivering accurate care for patients worldwide. CogNet AI-MT employs advanced AI and Machine Learning (ML) to detect early signs of cancer across all ethnicities and can be deployed on customer premises, in the cloud, or via the web. The platform is FDA 510(k) cleared for triage of mammogram images.

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Please contact MedCognetics, Inc. at: media@medcognetics.com 

About MedCognetics, Inc.

MedCognetics provides an advanced AI software platform that integrates into radiology workflow. In addition, the AI algorithm is trained on a diverse global patient dataset to mitigate data biasing. The future of AI in healthcare is unbiased services and MedCognetics is at the forefront of creating a more predictable medical outcome and ultimately saving lives. Founded in 2020, the company is based in Dallas, Texas. For more information, please visit our website at www.medcognetics.com.

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Contact Details

 

ANW Networks

 

Alicia Nieva-Woodgate

 

+1 415-515-0866

 

alicia@anwnetworks.com

 

Company Website

 

https://www.medcognetics.com