Radiology Analysis and Measurement
for Covid-19 Detection and Control
Capacity to process 1 million CT and 10 million X-rays studies per day through the NubaRad-C19 cloud-based platform
Analysis of CT and X-ray images for patients with suspected COVID-19 disease including a score to monitor findings over time
Fully capable of integration with existing IT infrastructure and workflow
MAIN BENEFITS OF NUBARAD-C19
MAXIMUM RELIABILITY OF CT SCANS AND X-RAYS IMAGES
Assure that all images are analyzed correctly. Independent of the source or clinic, all content is examined uniformly and is consistent. Making the results extremely reliable.
Volume and speed of processes
NubaRad-C19 is capable of processing one million CT and ten million X-Rays studies per day. A significant amount of processing power, without losing in reliability.
A NEW WAY OF DETECTING THE COVID-19
NubaRad-C19 offers in general a new way of detecting if an individual is infected with the virus. Although traditional methods are still being the main source of diagnosis, the efficiency is far from optimal due to time and demand. Our software offers a much faster and still extremely reliable solution.
Patient monitoring and track progression of disease
Using volumetric measurement of the opacities burden, the system provides summation of the network-activation maps that include pixel volume. The volume percentage score provides clinicians automatic measurements of disease, allowing doctors to better manage a patient’s treatment.
MAIN CHARACTERISTICS OF NUBARAD-C19
Artificial Intelligence Analysis platform of medical imaging
Automatically analyzes DICOM (Digital Imaging and Communications in Medicine) data from CT and X-Ray images to provide detection, measurements, and key-images that are sent to radiologist workstation.
Comprehensive suite of applications
The software includes algorithms that not only detect abnormalities on the chest CTs and X-Rays, but also provide automatic triage alerts to the radiologist to help ensure potential findings are reviewed as soon as possible.
Our data is constantly updated with new cases
Data analysis on the collective wisdom of thousands of actual cases from installations and leading institutions around the world. This massive clinical database is constantly updated.
Tested and validated in ongoing clinical research
CT quantification solution tested and developed in collaboration with top medical experts from the U.S. and China including Dr. Eliot Siegel of the University of Maryland School of Medicine and Dr. Adam Bernheim of the Icahn School of Medicine at Mount Sinai. Based on research, the solution has demonstrated 98% accuracy in detecting disease in standard Chest-CT scans.