Digital Health, An Issue of Heart Failure Clinics, E-Book

Edited by Ragavendra R. Baliga, MD, MBA and Dipti Itchhaporia, MD, FACC, FAHA, FESC
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In this issue of Heart Failure Clinics, guest editors Drs. Ragavendra R. Baliga and Dipti Itchhaporia bring their considerable expertise to the topic of Digital Health, sometimes referred to as eHealth. Top experts in the field cover key topics in the field such as using AI to better predict/develop biomarkers; telehealth in heart failure; EHR in heart failure; artificial intelligence and mechanical circulatory support; and more. 

Key Features
  • Contains 11 relevant, practice-oriented topics including devices to improve symptoms and reduce morbidity and mortality in heart failure; utilizing artificial intelligence to enhance equity in minority populations; 3-D printing in heart failure; machine learning in cardiac imaging; and more. 

  • Provides in-depth clinical reviews on digital health, offering actionable insights for clinical practice. 

  • Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews. 

ISBN 9780323920209
Product Format Ebook
Publication Date 2022
Author Information Edited by Ragavendra R. Baliga, MD, MBA, Director, Section of Cardiovascular Medicine and Clinical Professor of Internal Medicine, Ohio State University, University Hospital East, Ohio, MI, USA and Dipti Itchhaporia, MD, FACC, FAHA, FESC, Vice-President, American College of Cardiology, Eric & Sheila Samson Endowed Chair in Cardiovascular Health, Director of Disease Management Hoag Memorial Hospital Presbyterian, Newport Beach, CA Associate ClinicalProfessor, University of California, Irvine Chair, ACC's Taskforce on Health Equity
Table of Content Electronic Health Records and Heart Failure
Telehealth in Heart Failure
Framework for Digital Health Phenotypes in Heart Failure: From Wearable Devices to New Sensor Technologies
Machine Learning in Cardiovascular Imaging
Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure
Using Artificial Intelligence to Better Predict and Develop Biomarkers
Advances in Machine Learning Approaches to Heart Failure with Preserved Ejection Fraction
Artificial Intelligence and Mechanical Circulatory Support
Utilizing Conversational Artificial Intelligence, Voice, and Phonocardiography Analytics in Heart Failure Care
Application of 3D Printing Technology in Heart Failure
Publication Date 05-04-2022
Pages 240
deltacomm1code Electronic Book
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