Cardiovascular Digital Health Journal

Aims & Scope

Cardiovascular Digital Health Journal, a new peer-review, Gold Open Access and bi-monthly journal, is committed to publishing high-quality original clinical and experimental research, review articles, points-of-view, images and short reports contributing to the advancement and adoption of digital technologies in global cardiology and health practice.

By bringing together the most important advances in this multidisciplinary field, Cardiovascular Digital Health Journal aims to be a prominent voice and publishing venue in digital health.

Cardiovascular Digital Health Journal publishes original, important, innovative, and practice-changing research on any topic connected with digital health and technology in the field of cardiology.

Submissions of quantitative, qualitative, mixed methods, economic and health policy research papers will be considered through a peer-review process.

We serve the global digital health, clinical, and wider health communities in the entire field of cardiology by promoting high-quality science and supporting the ethical use of technologies and data in practice.

Content will be available on Science Direct.

The journal will apply for indexing in relevant databases including PubMedCentral.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering and Medicine, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Plagiarism url
• Preservation url
• Apc url
• License

Plagiarism Policy

This journal follows a plagiarism policy. All submitted manuscripts are screened using reliable plagiarism detection software to ensure originality and academic integrity. Authors are responsible for proper citation and acknowledgment of all sources, and any form of plagiarism, including self-plagiarism, will not be tolerated.

For more details, please refer to our official: Plagiarism Policy.

APC Details

The journal’s Article Processing Charge (APC) policies support open access publishing in Engineering and Medicine, ensuring accessibility and quality in research dissemination.

This journal requires an Article Processing Charge (APC) to support open access publishing, covering peer review, editing, and distribution. The current APC is 2,600.00 USD. Learn more.

Explore journals without APCs for alternative publishing options.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• “Wearables only work on patients that wear them”: Barriers and facilitators to the adoption of wearable cardiac monitoring technologies

  Citation: 59

  Authors: Caleb, Louise D., Sabera, Paul, Gaetano, Sally C.

• A comprehensive artificial intelligence–enabled electrocardiogram interpretation program

  Citation: 59

  Authors: Anthony H., Wei-Yin, Zachi I., Michal S., Paul A., Peter A.

• When smartwatches contribute to health anxiety in patients with atrial fibrillation

  Citation: 43

  Authors: Lindsey, Anil, Rachel

• COVID-19 testing and infection surveillance: Is a combined digital contact-tracing and mass-testing solution feasible in the United States?

  Citation: 39

  Authors: Devin, Jennifer C., Leslie A.

• Survey of current perspectives on consumer-available digital health devices for detecting atrial fibrillation

  Citation: 38

  Authors: Eric Y., Emma, Christina, David, Martin, Steven A., Emily, Timothy P., Nazem, Sana M., Zachi I., Hamid, Nassir F., G. Stuart, Nicholas S., Khaldoun G., Mintu, Elaine Y., David D.

• Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG

  Citation: 38

  Authors: Giorgio, Luca, Steffen, Massimo W., Tiago P., Juan P., Diogo C., Armin, Björn, Amir, Olaf, Roberto, Pablo, Axel

• Large-scale identification of aortic stenosis and its severity using natural language processing on electronic health records

  Citation: 36

  Authors: Matthew D., Grace, Amanda, Sue Hee, Alan S.

• Validating cuffless continuous blood pressure monitoring devices

  Citation: 34

  Authors: Jiun-Ruey, Gabrielle, Sanjna, Lara C., Timothy B., Noud van, Richard A., Tammy M., Ruth-Alma N., Stephen P.

• Anatomically informed deep learning on contrast-enhanced cardiac magnetic resonance imaging for scar segmentation and clinical feature extraction

  Citation: 32

  Authors: Dan M., Haley G., Rebecca, Changxin, Julie K., Katherine C., Mauro, Natalia A.

• Usability of a smartwatch for atrial fibrillation detection in older adults after stroke

  Citation: 32

  Authors: Eric Y., Maira, Khanh-Van, Jordy, Andreas, Tenes, Edith Mensah, Kamran, Dong, Jane S., Bruce, Kathleen M., Ki, David D.