AI AND BIG DATA IN CARDIOLOGY

CREATIS, Lyon 1 University; School of Biomedical Engineering and Imaging Sciences King’s College London

The book provides insights into how AI and big data can enhance decision-making in cardiology, particularly through machine learning techniques that predict patient responses to therapies. It discusses various methodologies, including supervised and unsupervised learning, and emphasizes the importance of uncertainty in clinical predictions. The editors, Nicolas Duchateau and Andrew P. King, bring together contributions from experts in the field to present a comprehensive resource for clinicians and researchers.