About the Project

The project aims to automate the detection, classification, and reporting of left ventricular Regional Wall Motion Abnormalities (RWMAs) from Cardiac CINE Magnetic Resonance using an AI-based solution, addressing the current gap in diagnostic standardization.

The potential value lies in enhancing diagnostic accuracy, especially in resource-limited settings with fewer experienced clinicians, reducing clinician cognitive burden, and improving patient outcomes, with the added benefit of increasing operational efficiency in hospitals by streamlining the diagnostic process.

The project is conducted in collaboration with Dr. Matías Calandrelli and Martín Descalzo at the Magnetic Resonance Unit at Hospital de la Santa Creu i Sant Pau (HSCSP). The project is funded by Ayudas para contratos predoctorales para la formación de doctores/as, Gobierno de España.