Coronary artery disease (CAD) is the single leading cause of death in Australia and the world. It is believed that two-thirds of heart attacks originate from plaques with less than 50% blockage of arteries in patients without symptoms. Coronary computed tomography angiography (CCTA) has emerged as a robust technique for CAD assessment. However, its true potential is yet to be realised. Many of the CCTA image analysis steps and clinical decisions are ideally suited for artificial intelligence (AI) methods. We anticipate that in very near future we will see an AI-based risk prediction tool developed utilising CCTA scans, which could potentially also personalise the management of patients with CAD.
December 4 @ 14:50
14:50 — 15:10 (20′)

Prof Girish Dwivedi – Professor of Cardiology at Fiona Stanley Hospital/UWA/Harry Perkins Institute of Medical Research