Cardiovascular diseases are among the leading causes of mortality across the world. In particular, coronary artery disease represent a high burden of cardiovascular deaths. The aims of our study is to develop artificial intelligence-based tools using MRI scans, EKG, and patient demographics to predict the risk of adverse outcomes in patients
Type of dataset required: Cardiac imaging data (CMR), patient demographics, outcomes, QOLs, EKGs.
The expected value of research (public interest) is that the development of a non-invasive, novel, AI-aided toolkit will allow accurate prediction of the risk of adverse cardiovascular outcomes. This toolkit will help in future prospective studies to preemptively identify high-risk patients for whom protective strategies may be targeted.