Intelligence-Based Cardiology and Cardiac Surgery

Dr. Chang is the founder and medical director of the Medical Intelligence, Information, Investigation, and Innovation Institute (Mi4) that is supported by the Sharon Disney Lund Foundation. The institute is dedicated to the introduction and implementation of artificial intelligence in medicine and was the first institute of its kind in a hospital. Dr. Chang intends to build a clinician-computer scientist interface with a nascent society (the Medical Intelligence Society) and is the editor-in-chief of Intelligence-based Medicine, the accompanying journal for his book, Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare. He is the organizing chair for Artificial Intelligence in Medicine (AIMed) meetings around the world, the largest and most comprehensive clinician-led meetings that focus on applications of artificial intelligence in medicine and the dean of the nascent American Board of Artificial Intelligence in Medicine (ABAIM). He is also the founding president of the Medical Intelligence Society (MIS). Dr. Alfonso Limon is the Senior Data Scientist at Mi4 within Rady Children’s Health, specializing in AI and healthcare innovation. Previously served as a Principal at Oneirix Labs, a consulting firm specializing in computational intelligence for medical technology. Dr. Limon was Research Director at Intersection Medical (I-Med), where he developed decision-support algorithms for congestive heart failure, and previously managed the research team at Impedance Cardiology Systems. He serves as associate editor for Intelligence-Based Medicine, is a founding member of the American Board of AI in Medicine.Dr. Lopez-Jimenez is a Professor of Medicine at Mayo Clinic College of Medicine, the Chair of the Division of Preventive Cardiology at Mayo Clinic and Co-Director of Artificial Intelligence in Cardiology in the Department of Cardiovascular Medicine. He is the Editor-In-Chief of Mayo Clinic Proceedings: Digital Health and the Co-Chair for the Advanced Healthcare Analytics workgroup, American College of Cardiology. Dr. Lopez-Jimenez did his cardiology fellowship at Mount Sinai Medical Center in Miami, Florida and at Brigham and Women’s Hospital, Harvard Medical School. He holds a Master of Science degree from Harvard School of Public Health and a MBA degree from Augsburg University. Dr. Lopez-Jimenez has published more than 365 scientific publications and his scientific work has been cited more than 17,000 times. Dr. Sun is Professor and Chief of Cardiothoracic Anesthesiology at Stanford. Her areas of clinical focus are hemodynamic monitoring and heart failure. Her methodologic areas of focus are the conduct of population-based cohort studies, predictive analytics, sex and gender epidemiology, patient engagement, data warehousing, and applications development. Her patient-centered research program leverages big data and digital technology to bridge key gaps in the delivery of care and outcomes for patients with heart failure and those undergoing cardiovascular interventions, through personalized risk stratification and characterizing long-term, patient-defined outcomes. She specializes in rapidly developing and deploying data-driven solutions to enhance clinical operations and patient care, and collaborates with policy makers to evaluate models of cardiac healthcare delivery. Dr. Sun sits on a number of editorial boards and scientific review committees internationally. She has authored over 100 peer-reviewed publications, many in leading journals including JAMA, JAMA Cardiology, JAMA Internal Medicine, Circulation, JACC, and Diabetes Care.

• I. INTRODUCTION TO ARTIFICIAL INTELLIGENCE 1. Basic Concepts of Artificial Intelligence 2. History of Artificial Intelligence 3. History of Artificial Intelligence in Medicine II. DATA SCIENCE AND ARTIFICIAL INTELLIGENCE IN THE CURRENT ERA 4. Health Care Data and Databases 5. Machine and Deep Learning 6. Other Key Concepts in Artificial Intelligence III. THE CURRENT ERA OF ARTIFICIAL INTELLIGENCE IN MEDICINE 7. Clinician Cognition & Artificial Intelligence in Medicine