Two-thirds of all cardiac patients suffer from coronary heart disease (CHD), which is still one of the leading causes of death worldwide with approximately 3.8 million men and 3.4 million women dying from CHD annually. Two-dimensional transthoracic echocardiography is the first choice of imaging tool for the diagnosis, management, and follow-up of patients with coronary heart disease. It is one of the most widely used diagnostic tests in cardiology, widely available, and provides a wealth of helpful information, including the morphology of the heart including volumes and location and extent of myocardial damage and function.
The aim of this project is to design an AI-based system for prediction of clinical events including mortality and major adverse cardiac events (MACE) exploiting cardiac echocardiography images together with clinical parameters in patients with suspected or documented CHD. The project is performed in collaboration with the Department of Cardiology and it is funded by Pie Medical Imaging.