Automated Stenosis and Plaque Detection in Support of CAD-RADS Reporting

The project leverages artificial intelligence to automate the stenosis and plaque detection for cardiologist and radiologist users in their diagnoses of coronary artery diseases. This will greatly facilitate their workflow in busy clinical settings. By reducing the time required for analyzing each patient case, healthcare professionals can focus more on patient care. Automation can also integrate seamlessly with electronic health records. allowing for quicker retrieval of information and easier tracking of patient data over time. This contributes to a more streamlined process, helping to optimize resource utilization and lowering healthcare costs while maintaining high-quality care standards. The ability to create an automated detection and reporting workflow that is clinically cleared by Health Canada and the FDA will establish Circle as a new major player in the field of cardiac CT image analysis, and create more business opportunities with an expanding customer base that we serve. This is critical to the future success of Circle as we aim to continue our growth trajectory.

Faculty Supervisor:

Svetlana Yanushkevich

Student:

Partner:

Circle Cardiovascular Imaging

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program: