Cardiovascular Digital Health Journal

CVDHJ Special Issue: Artificial Intelligence in Cardiology

Call for Manuscripts
Cardiovascular disease remains one of our most important public health challenges. Machine learning tools hold tremendous promise by leveraging large datasets containing disparate data sources and novel computational techniques to improve health care delivery and outcomes.

The Cardiovascular Digital Health Journal will publish a Special issue in December 2021 dedicated to showcase the best machine learning approaches for understanding and management of cardiovascular disease. Our goal is to highlight machine learning techniques that can provide novel insights for pharmacological and interventional treatment of cardiovascular disease and lead to improved cardiovascular health outcomes and reduce health utilization and cost.

The Journal seeks original research and review papers focused on big data, innovative trial design, bias, data analytic methodologies, robotics, sensor technologies, biomedical informatics, economic and health policy research concerning the field of artificial intelligence and machine learning. Every submission will be considered through the Journal’s peer review process.

IMPORTANT: Please refer to the Guide for Authors to prepare your manuscript. When submitting your manuscript via Editorial Manager, select the “special issue” article type and indicate in your cover letter that it is for the “Artificial Intelligence in Cardiology” special issue. The Guide for Authors and submission portal can be found on the Cardiovascular Digital Health Journal homepage: www.cvdigitalhealthjournal.com.

Submissions will undergo standard peer review by independent reviewers. If accepted, your article will go into production immediately and will be published in this special issue in 2021. The Article Publishing Charge for this special issue will be waived.

Submissions must be received no later than July 26, 2021.

Accessing the Journal

The journal is online at www.cvdigitalhealthjournal.com.

Submissions to Cardiovascular Digital Health Journal are encouraged from all professionals that participate in digital medicine across all areas of cardiology.

About the Cardiovascular Digital Health Journal

Manuscript Categories

1. Full Length Articles - Original Clinical or Original Experimental 
2. Contemporary Reviews (Solicited and Unsolicited)
3. Study Designs/Research Methods
4. Case Reports
5. Short Reports
6. Perspectives
7. Images
8. Letters to the Editor
9. Editorial Commentary

Details about the requirements for each category are available in the Authors' Guide. 

Areas of Focus

• Big Data
  
• Clinical and research implementation
• Clinical trials 
• Innovative Trial Design (MOST, N of 1, etc)
• Comparative Effectiveness
• Impact of digital and mobile technologies 
• Biomedical Informatics
• Behavioral medicine

       i) Health Behaviors, and digital cardiology
       ii) Social Media based Studies
       iii) Behavioral Science AND preventive Medicine

• Genetics and Digital Medicine
• Data analytic methodologies & machine learning
• Meta-Analysis
• New Device/Low cost Devices
• Health information and management systems (e.g. EMR, decision support)
• Bias and diversity in AI models
• Robotic and AI
• Biomedical Sensors
• Implementation science and pragmatic trials
• Longitudinal monitoring, screening and detection
• Personalized health
• Signal processing
• Virtual healthcare and telemedicine
• Augmented, virtual and mixed reality
• Cybersecurity of medical devices
• Health policy and public health

Publishing Charge Discounts

The Cardiovascular Digital Health Journal is an open-access journal with no subscription charges. An Article Publishing Charge (APC) is payable by the author or research funder if the manuscript is accepted to cover the costs associated with publication. This ensures the article will be immediately and permanently free to access by everyone. The Article Publishing Charge for this Journal is USD $2,800, excluding taxes.

Discounts:

• For articles submitted between January 2, 2021, and January 2, 2022, there is a 25% introduction discount;
• From January 2022 solely HRS members receive a discount.

Editorial Board

Editor-in-Chief

David D. McManus, MD, MSci, FHRS, FACC, FAHA from the University of Massachusetts, will serve as the founding Editor-in-Chief of the Cardiovascular Digital Health Journal.

Associated Editors

Belinda Borrelli, PhD
Center for Behavioral Science Research, Boston University’s Mobile & Electronic Health-ARC
Boston University, Boston, MA

Ki Chon, PhD
Biomedical Engineering Department
University of Connecticut, Storrs, CT

Hamid Ghanbari, MD
University of Michigan, Ann Arbor, MI

Nassir F. Marrouche, MD, FHRS
Tulane University School of Medicine, New Orleans, LA

Suneet Mittal, MD, FHRS
Electrophysiology & Cardiology
The Valley Hospital, Ridgewood, NJ

 

Section Editors

Zachi Itzhak Attia, MSEE
Artificial Intelligence in Cardiology
Mayo Clinic, Rochester, MN

Honghuang Lin, PhD
Medicine Computational Biomedicine
Boston University, Boston, MA

Jomol Mathew, PhD
Biomedical Informatics
University of Wisconsin School of Medicine and Public Health, Madison, WI

David J. Slotwiner, MD, FHRS
Division of Cardiology
New York Presbyterian Queens
Weill Cornell Medical College School of Health Policy & Research, New York, NY

Paul D. Varosy, MD, FHRS
VAECHCS/University of Colorado, Denver, CO

Editorial Board Members

View the full list of Editorial Board Members