AI Augmented ECG Technology
Description
This book mainly focuses on the application of AI technology in the field of ECG, and details the theoretical, practical, and evidence-based aspects of this technology. It extensively reviews the latest research reports, and discusses the application of artificial intelligence in the diagnosis and treatment of cardiovascular diseases. This book focuses on the application of artificial intelligence in the diagnosis and treatment of cardiovascular diseases, and discusses in depth its clinical application in the diagnosis and treatment of coronary heart disease, heart failure, arrhythmia, cardiac pacing, hypertension, myocardial disease, heart valve disease, electrolyte disorders, and other diseases.
It not only provides an overview of medical artificial intelligence but also richly demonstrates its clinical practice, which will help cardiovascular doctors, electrocardiogram diagnostic doctors, or medical students to understand the basic theories, applications, and development direction of this field.
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Persons
Dr. Kang-Yin Chen, MD, PhD, Chief Physician, Doctoral Supervisor, and Vice President of the Second Hospital of Tianjin Medical University. Recent years, he devotes himself to the clinical researches of interventional cardiology, and application of AI technology in cardiovascular diseases.
Dr. Hua-Yue Tao, Master of Management, Senior Engineer, Master Supervisor, Director of Network Information Center of the Second Hospital of Tianjin Medical University. He has long been committed to research in the field of medical informatization, and application of Internet technology and AI technology in the medical field.
Prof. Tong Liu, MD, PhD, FESC, FHRS, Doctoral Supervisor, Director of Department of Cardiology, Second Hospital of Tianjin Medical University, President of Tianjin Institute of Cardiology. He is mainly engaged in the basic and clinical research of atrial fibrillation and Cardio-Onology.
Content
Overview of AI.- Iteration and Development of ECG Devices.- Clinical Application of AI-ECG.- Limitations and Challenges of AI-ECG.- Prospects and Prospects of AI-ECG.
