This paper is in the following e-collection/theme issue:

Viewpoints and Proposals (4) Viewpoints and Perspectives (618) Big Data (307) eHealth Infrastructures (427)

Published on in Vol 6, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37437, first published .
Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium

Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium

Digital Health Solutions to Reduce the Burden of Atherosclerotic Cardiovascular Disease Proposed by the CARRIER Consortium

Authors of this article:

Bart Scheenstra1, 2 Author Orcid Image ;   Anke Bruninx3 Author Orcid Image ;   Florian van Daalen3 Author Orcid Image ;   Nina Stahl4 Author Orcid Image ;   Elizabeth Latuapon5 Author Orcid Image ;   Maike Imkamp6 Author Orcid Image ;   Lianne Ippel7 Author Orcid Image ;   Sulaika Duijsings-Mahangi7 Author Orcid Image ;   Djura Smits8 Author Orcid Image ;   David Townend4 Author Orcid Image ;   Inigo Bermejo3 Author Orcid Image ;   Andre Dekker3 Author Orcid Image ;   Laura Hochstenbach9, 10 Author Orcid Image ;   Marieke Spreeuwenberg10 Author Orcid Image ;   Jos Maessen1, 2 Author Orcid Image ;   Arnoud van 't Hof2, 11, 12 Author Orcid Image ;   Bas Kietselaer2, 11 Author Orcid Image
Article Authors Cited by (9) Tweetations (5) Metrics

Journals

  1. Latuapon E, Hochstenbach L, Mahr D, Scheenstra B, Kietselaer B, Spreeuwenberg M. Cocreation to Facilitate Communication and Collaboration Between Multidisciplinary Stakeholders in eHealth Research and Development: Case Study of the CARRIER (Coronary Artery Disease: Risk Estimations and Interventions for Prevention and Early Detection) Consortium. JMIR Human Factors 2023;10:e45006 View
  2. Bregonzio M, Bernasconi A, Pinoli P. Advancing healthcare through data: the BETTER project's vision for distributed analytics. Frontiers in Medicine 2024;11 View
  3. Echefu G, Batalik L, Lukan A, Shah R, Nain P, Guha A, Brown S. The Digital Revolution in Medicine: Applications in Cardio-Oncology. Current Treatment Options in Cardiovascular Medicine 2025;27(1) View
  4. Komiyama C, Kuwabara M, Harima A, Kanie T, Yamaguchi T, Kodama T. Digital Health Interventions for Atherosclerotic Cardiovascular Disease: The Current Impact and Future Directions for Prevention and Management. Journal of Atherosclerosis and Thrombosis 2025;32(4):395 View
  5. Parsa S, Shah P, Doijad R, Rodriguez F. Artificial Intelligence in Ischemic Heart Disease Prevention. Current Cardiology Reports 2025;27(1) View
  6. Alipour P, El-Aghil M, Foo A, Azizi Z. Leveraging Mobile Health and Wearable Technologies for the Prevention and Management of Atherosclerotic Cardiovascular Disease. Current Atherosclerosis Reports 2025;27(1) View
  7. van Daalen F, Jacquemin M, van Soest J, Stahl N, Townend D, Dekker A, Bermejo I. A critique of current approaches to privacy in machine learning. Ethics and Information Technology 2025;27(3) View
  8. van Mierlo R, Scheenstra B, Verbeek J, Bruninx A, Kalendralis P, Bermejo I, Dekker A, van 't Hof A, Spreeuwenberg M, Hochstenbach L. Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence–Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection Consortium. JMIR Research Protocols 2025;14:e66068 View

Books/Policy Documents

  1. Echefu G, Olson J, Jumbo U, Otto C, Brown S. Innovations in Cardio-Oncology. View