Piotr Slomka, Professor of Medicine and Cardiology in the Division of Artificial Intelligence in Medicine, in the Cedars-Sinai Medical Centre in Los Angeles, shifted the focus to applying AI in (hybrid) nuclear cardiology.
Stressing that data is key to developing good AI systems, he discussed deep learning for diagnosis, how AI can predict early revascularisation from nuclear cardiology, be used for automated coronary calcium scoring, epicardial adipose tissue quantification and forecasting long-term risk of major cardiovascular events. He said: “AI can assist in mental integration of multiple quantitative and clinical parameters and provide more accurate risk estimates after the imaging test, while deep learning can provide diagnosis estimate.”
Steffen Petersen is a Professor of Cardiovascular Medicine at the William Harvey Research Institute, Queen Mary University of London and a Consultant Cardiologist and Clinical Director for Research at Barts Heart Centre, Barts Health NHS Trust. He is also the Cardiovascular Programme Director of UCLPartners Academic Medical Centre and President-Elect of the European Association of Cardiovascular Imaging (EACVI).
Tim Leiner is Professor of Radiology and Chair of Cardiovascular Imaging at Utrecht University Medical Center, Utrecht, in The Netherlands. His research centres on the development and implementation of new MR and CT techniques with a focus on cardiovascular imaging. He is currently President of the International Society for Magnetic Resonance in Medicine (ISMRM).
Piotr Slomka is the director of Innovation in Imaging and professor of medicine and cardiology, Division of Artificial Intelligence in Medicine at Cedars-Sinai. Current research in the Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques.
Source: Healthcare in Europe