Integrating AI with 4D Flow MRI for Advanced Cardiovascular Diagnostics

This project is dedicated to enhancing the safety and reliability of cardiovascular disease diagnosis through the innovative integration of Artificial Intelligence (AI) with 4D Flow MRI technology. By applying advanced machine learning algorithms, we aim to improve the precision and dependability of 4D Flow MRI analyses, ensuring more accurate assessments of complex heart blood flow dynamics. The initiative promises to deliver a robust diagnostic tool capable of providing safer, more reliable diagnoses across a wide spectrum of cardiovascular conditions. This approach not only improves patient outcomes by supporting more informed treatment decisions but also contributes to the broader goal of advancing medical diagnostics technology. For the participating institutions, this collaboration is an opportunity to lead in the crucial areas of AI safety and diagnostic reliability, setting new standards in healthcare research and patient care.

Faculty Supervisor:

Julio Garcia Flores

Student:

Partner:

University of Leicester

Discipline:

Engineering

Sector:

Artificial Intelligence; Health and Related Sciences & Technology; Technology

University:

University of Calgary

Program: