Can an Emerging AI Platform Enhance Real-Time Results for Mammography?
The combination of FDA-cleared AI software for mammography triage with a medical grade edge AI platform may allow the embedding of enhanced AI detection capability within existing mammography devices.
Could an embedded AI system within mammography devices provide enhanced images, bolster workflow efficiency, and reduce hardware upgrade costs?
MedCognetics said the combination of its CogNet AI-MT AI-powered mammography software with the medical-grade edge AI platform NVIDIA IGX Orin enables real-time processing of high-quality mammography images.
MedCognetics said the combination of CogNet AI-MT AI-powered mammography software with the medical-grade edge AI platform NVIDIA IGX Orin facilitates improved image clarity and detail as well as worklist prioritization for a significantly lower cost than hardware upgrades for mammography devices. (Images courtesy of MedCognetics.)
The combination of AI technologies reportedly facilitates improved image clarity and detail as well as worklist prioritization for a significantly lower cost than hardware upgrades for mammography devices, according to MedCognetics.
“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, the 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.”
Newsletter
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
Recent Videos
Related Content
Considering Breast- and Lesion-Level Assessments with Mammography AI: What New Research Reveals
June 27th 2025Article
While there was a decline of AUC for mammography AI software from breast-level assessments to lesion-level evaluation, the authors of a new study, involving 1,200 women, found that AI offered over a seven percent higher AUC for lesion-level interpretation in comparison to unassisted expert readers.
FDA Clears Virtually Helium-Free 1.5T MRI System from Siemens Healthineers
June 26th 2025Article
Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.
