David Callans - Böcker

Selected as a Doody’s Core Title for 2025!Widely regarded as the premier text in this complex field, Josephson’s Clinical Cardiac Electrophysiology, Seventh Edition, provides a thorough understanding of the mechanisms of cardiac arrhythmias and the therapeutic interventions used to treat them. Dr. David J. Callans, personally chosen and trained by Dr. Mark Josephson, provides expert clinical insights and superb illustrations that highlight proven approaches and methods. With its strong focus on physiologic investigation and its role in clinical decision making, this comprehensive text is a must-have reference for cardiology fellows, electrophysiologists, and others in the EP lab.  Provides highly visual guidance on the electrophysiologic methodology required to define the mechanism and site of origin of arrhythmia—enabling you to choose the safest and most effective therapy for each patient  Offers comprehensive coverage of mechanisms, clinical implications, and limitations of current therapeutic EP interventions, including drugs, catheters, and surgical ablations  Includes new concepts and technology for ablation of atrial fibrillation, and new understandings of the physiology of ventricular tachycardia in structural heart disease  Provides new sections explaining the correlation of anatomy and current methods of imaging the heart, as well as new anatomical figures courtesy of the UCLA Cardiac Arrhythmia Center, McAlpine and Amara-Yad Project Collections  Contains new ECG images, more figures of intracardiac echocardiography, and an all-new appendix of cases studies that focus on diagnosis and treatment plans   Reflects the recent increase in knowledge in population science, molecular biology, advanced imaging techniques, and neuroscience, and how they continue to inform clinical electrophysiology in new and exciting ways    Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone.  Easily convert to audiobook, powering your content with natural language text-to-speech.