
OUR SOLUTIONS
RADIONIX - RADLogics
RADIONIX – RADLogics develops artificial intelligence solutions that support image analysis to increase radiologists’ productivity and improve patient outcomes. Based in New York, NY and Tel Aviv, Israel, we are one of the pioneers in using artificial intelligence and machine learning for image analysis and advanced big data analytics to search and analyze image data to help reduce diagnostic time from hours to minutes through automated detection and report generation functions. Our proprietary AI-powered medical image analysis platform enables rapid development and deployment of AI algorithms, and provides seamless integration into existing and customizable radiology workflows


AI-based detection and the COVID-19 pandemic
RADIONIX – RADLogics is committed to easing the burden on healthcare systems around the world due to the coronavirus pandemic. We’ve deployed our AI-powered COVID-19 solution globally, and we’ve processed and analyzed hundreds of thousands of suspected coronavirus cases to support radiology, emergency and intensive care teams as they’ve been overwhelmed by the patient flow
RADIONIX - RADLogics includes
RADIONIX’s artificial intelligence platform, RADLogics, includes FDA-approved applications that automatically analyze DICOM data from CT and X-ray images to provide automatic detection, measurement, and key images that work seamlessly into your current workflow.

HOW THE PACS SYSTEM WORKS WITH AI
Stage 1
Our AI-based solutions can process DICOM data from multiple image modalities.


Stage 2
Our AI-based solutions are fully integrated into your existing workflow and then process and deliver results within seconds.
Stage 3
All results, measurements, alerts, and key images are seamlessly transferred to the radiologist's workstation, RADIONIX PACS system, and reporting system.


Stage 4
No additional steps - the results are immediately incorporated into the current workflow, and radiologists do not need to leave their current screen to view our automatically generated information.
