On-premise medical imaging AI framework uses Intel Core Ultra processors and Intel’s OpenVINO toolkit to accelerate edge inference within healthcare environments

PETACH TIKVA, Israel – August 10 – Nanox AI Ltd., a subsidiary of Nano-X Imaging Ltd. (NASDAQ:NNOX), today announced the optimization of its medical imaging AI application framework for Intel CoreUltra processors using Intel’s OpenVINO toolkit.The framework is designed to support AI applications running on an on-premise edge device within healthcare facilities, enabling organizations to evaluate and deploy CT imaging AI applications while keeping imaging data within their own infrastructure.

Nanox.AI solutions analyze routine medical CT scans to help identify patients with findings correlated with chronic conditions in areas including cardiac, liver and bone health. By leveraging existing CT imaging workflows, Nanox.AI aims to help healthcare organizations derive additional clinical value from scans that have already been performed and support preventive care management.

The optimized AI application framework ran inference successfully and efficiently on Intel Core Ultra-class hardware using OpenVINO, demonstrating its suitability for on-premise AI processing in medical imaging environments.

Intel CoreUltra processors provide a heterogeneous AI architecture with CPU, GPU and NPU compute resources, while OpenVINO helps developers optimize and deploy AI workloads across Intel hardware. For healthcare organizations, this combination can support local inference at the edge, help reduce dependence on cloud connectivity, and enable deployment models aligned with hospital infrastructure requirements.