Demo the new
cvi42 | CORE CT

Complete the form to schedule your free Demo

Circle CVI's updated cardiac CT offering - cvi42 | CORE CT - lets you use the power of AI to do more, faster.

During your demo you'll learn more about...

  • Reading and reporting Cardiac CT scans with zero-click coronary artery and calcium scoring
  • Reviewing and editing studies with a streamlined user interface with automatically generated results
  • cvi42's two new AI-enabled Calcium Scoring and Coronary Arteries modules with server-side processing
  • Zero-click coronary centreline segmentation powered by AI
  • Single-click stenosis assessment with a simple interface, quick editing, and measurement tools
  • Automated Agatston score, mass, and volume quantification

 

Introducing
cvi42 | CORE CT

Circle CVI's updated cardiac CT offering - cvi42 | CORE CT - includes two new AI-enabled modules with server-side processing to streamline your clinical workflow

cvi42 | CORE CT:
Coronary Arteries

 

Improve clinical workflow efficiency with zero-click coronary centerline segmentation powered by AI

2 click stenosis assessment with simple interface, quick editing and measurement tools

Automatic generation of the 3D view of the heart for qualitative assessment of the coronary artery

Without compromising the accuracy

AI algorithm trained and tested on a variety ofclinical datasets, from different vendors, and with different image acquisition parameters

Detection of the major coronary arteries with a truepositive rate of 87.1% for LAD, 82.9% for LCX and 94.3% for RCA

cvi42 | CORE CT:
Calcium Scoring

 

Define major coronary artery calcium with zero-clicks

Improve clinical workflow efficiency by automatically generating the Agatston score to contribute to cardiac event risk stratification

Automated quantification and categorization of calcified plaque in major coronary arteries in non-contrast enhanced CT images

Without compromising the accuracy

AI algorithm trained and tested on a variety of clinical datasets from different vendors, and with different image acquisition parameters

Classification performance for each label of interest measured using balanced accuracy of 86.9% for LM, 91.5% for LAD, 87.3% for LCX, and 90.7% for RCA