Artificial Intelligence and Machine Learning in Cardiovascular Medicine
Guest Editors
Prof. Zhong Wang E-Mail
Professor, Department of Cardiac Surgery, Cardiovascular Research Center, University of Michigan, USA
Research Keywords: Heart repair and regeneration, epigenetic regulation, epigenetics and metabolism, cardiac reprogramming, heart cell therapy
Dr. Ienglam Lei E-Mail
Assistant Professor of Physiology and Biomedical Engineering, Mayo Clinic, USA
Dr. Liu Liu E-Mail
Research Assistant Professor, Cardiac Surgery, Medical School, University of Michigan, USA
About the Special lssue
Advances in artificial intelligence (AI) and machine learning (ML) research have revolutionized healthcare by enabling earlier disease detection through medical image interpretation, predicting protein structure for drug discovery, and delivering precision medicine through the integration of diverse datasets encompassing genetic, environmental, and life-style factors.
This special issue journal publication will delve into the transformative potential of AI and ML in revolutionizing the landscape of our understanding of cardiovascular diseases. With contributions from leading researchers and practitioners in the field, this collection aims to offer a comprehensive analysis of cutting-edge methodologies, innovative technologies, and real-world applications driving progress in cardiovascular healthcare. From advanced algorithms enhancing disease risk assessment, drug discovery, early detection, and accurate diagnosis to personalized treatment strategies tailored to individual patient profiles, each article will illuminate the profound impact of AI and ML on improving patient outcomes and optimizing healthcare delivery.
Keywords: Artificial intelligence, machine learning, cardiovascular diseases, cardiovascular medicine