Accessibility settings

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

RCTs - Protocols/Proposals (eHealth) (1359) mHealth for Wellness, Behavior Change and Prevention (4283) Behavior Change (1092) Cardiovascular Disease Prevention (273) Artificial Intelligence (4852)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66283, first published .
Doctor in white coat using tablet in clinic

Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial

Patient-Centered Risk Prediction, Prevention, and Intervention Platform (TIMELY) to Support the Continuum of Care in Coronary Artery Disease Using eHealth and Artificial Intelligence: Protocol for a Randomized Controlled Trial

Authors of this article:

Mirela Habibovic1 Author Orcid Image ;   Emma Douma1 Author Orcid Image ;   Hendrik Schäfer2, 3 Author Orcid Image ;   Manuela Sestayo-Fernandez4 Author Orcid Image ;   Tom Roovers1 Author Orcid Image ;   Xin Sun5 Author Orcid Image ;   Henrik Schmidt6 Author Orcid Image ;   Mona Kotewitsch2 Author Orcid Image ;   Jos Widdershoven1, 7 Author Orcid Image ;   David Cantarero-Prieto8 Author Orcid Image ;   Frank Mooren2, 3 Author Orcid Image ;   Carlos Pena-Gil4 Author Orcid Image ;   José Rámon González Juanatey4 Author Orcid Image ;   Martin Schmidt9 Author Orcid Image ;   Hagen Malberg9 Author Orcid Image ;   Vassilis Tsakanikas10 Author Orcid Image ;   Dimitrios Fotiadis11 Author Orcid Image ;   Dimitris Gatsios12 Author Orcid Image ;   Jos Bosch5 Author Orcid Image ;   Willem Johan Kop1 Author Orcid Image ;   Boris Schmitz2, 3 Author Orcid Image
Article Authors Cited by (7) Tweetations (1) Metrics

Journals

  1. Kotewitsch M, Scharnagl H, Köstler D, Teschler M, Garbsch R, Schäfer H, Waranski M, Vereckei K, Böll G, Kleber M, Dressel A, März W, Schmitz B, Mooren F. Biomarker-based risk assessment of dietary intervention in patients with coronary artery disease during cardiac rehabilitation—a quasi-experimental study. Frontiers in Nutrition 2025;12 View
  2. Schäfer H, Tsakanikas V, Garbsch R, Kotewitsch M, Teschler M, Gatsios D, Fotiadis D, Mooren F, Schmitz B. A machine learning approach predicts improvement of physical exercise capacity based on pulse wave analysis in coronary artery disease patients. Journal of Sport and Health Science 2026;15:101144 View
  3. Vilela E, Almeida M, Coelho A, Viamonte S, Pereira A, Teixeira M, Fontes-Carvalho R. Cardiac Rehabilitation—Current Paradigms and Challenges Across the Cardiovascular Continuum. Journal of Clinical Medicine 2026;15(16):6428 View
  4. Perrero L, Gardalini M, Bolgeo T, Valorio P, Malfitano C, De Michelis V. Evaluation of AI-generated exercise prescriptions for diverse cardiac conditions in rehabilitation: a simulation study using the DeepSeek model. Frontiers in Rehabilitation Sciences 2026;7 View
  5. Sergi C. Life expectancy in clinical practice: assessment, communication, and decision-making. Archives of Medical Science 2026 View

Books/Policy Documents

  1. Gil C, Sestayo Fernández M. Encyclopedia of Exercise Medicine in Health and Disease. View
  2. Gil C, Sestayo Fernández M. Encyclopedia of Exercise Medicine in Health and Disease. View