Today, the need for effective and cutting-edge methods of diagnosis, treatment, and prevention of cardiovascular diseases is greater than ever before. Integrating deep learning and artificial intelligence into digital healthcare and medical environments has the potential to revolutionize cardiovascular health. The new book addresses this need by discussing emerging uses of artificial intelligence and machine learning in the prediction, diagnosis, treatment, and management of cardiovascular diseases. It looks at AI in wearable technology, nuclear cardiac imaging, coronary CT angiography, and non-contrast cardiac CT methods. It also explores the application of machine learning techniques in predicting and diagnosing cardiovascular diseases, revealing the potential for data-driven predictions and decisions that can improve patient outcomes. It explores the potential of AI in a variety of cardiology applications, including the classification of ECG signals, wearables with AI support, speech technologies in clinical settings, and more.

Contents

۱. Introduction to Artificial Intelligence and Its Role in Cardiovascular Disease
۲. Artificial Intelligence Assisted Wearables for Cardiovascular Disease Monitoring
۳. Imaging Biomarkers for Cardiovascular Disease and the Role of AI
۴. Artificial Intelligence and Machine Learning for the Treatment of Cardiovascular Disease
۵. Advancement in Treatment of Cardiovascular Disease by AI and Future Perspectives
۶. AI-Based Methods and Their Applications for the Diagnosis and Detection of Cardiovascular Disease
۷. Prediction of Cardiovascular Disease Using AI