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

Wearables and MHealth Reviews (665) Mobile Health (mhealth) (5057) Wearable Devices and Sensors (1537) Novel Sensors and Data Acquisition Methods in Cardiology (256) Artificial Intelligence (4576)

Published on in Vol 13 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73846, first published .
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AI-Driven Real-Time Monitoring of Cardiovascular Conditions With Wearable Devices: Scoping Review

AI-Driven Real-Time Monitoring of Cardiovascular Conditions With Wearable Devices: Scoping Review

Authors of this article:

Ali Abedi1, 2 Author Orcid Image ;   Anshul Verma1, 2 Author Orcid Image ;   Dherya Jain1, 2 Author Orcid Image ;   Jathushan Kaetheeswaran1, 2, 3 Author Orcid Image ;   Cynthia Chui4 Author Orcid Image ;   Milad Lankarany1, 2, 3 Author Orcid Image ;   Shehroz S Khan5 Author Orcid Image
Article Authors Cited by (18) Tweetations (1) Metrics

Journals

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  3. Dave A, Dave A, Moussa I. The Evolving Role of Artificial Intelligence and Machine Learning in the Wearable Electrocardiogram: A Primer on Wearable-Enabled Prediction of Cardiac Dysfunction. Bioengineering 2026;13(2):167 View
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  8. Daria Sztefka , Agata Jaunich , Katarzyna Szlachetka , Adam Zając . CARDIOMETABOLIC STRATEGIES IN HEART FAILURE AND CHRONIC KIDNEY DISEASE: FROM GLP-1 RECEPTOR AGONISTS TO IMPROVED QUALITY OF LIFE AND TECHNOLOGY-ENABLED CARE. International Journal of Innovative Technologies in Social Science 2026;3(1(49)) View
  9. He L, Harold S, Frydrysiak–Brzozowska A. A Combination of Human Wisdom and Artificial Intelligence will Win the Game. Newborn 2026;5(1):iv View
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  11. Oloko-Oba M, Esenogho E, Aruleba K. From Biosignals to Bedside: A Review of Real-Time Edge Machine Learning for Wearable Health Monitoring. Bioengineering 2026;13(5):559 View
  12. Spósito-Prado J, Pereira J, Roibal-Pravío J. Exploring the Use of Artificial Intelligence and Wearable Technologies in the Context of Cardiovascular Prevention From Early Detection to Cardiac Recovery: Protocol for a Scoping Review. JMIR Research Protocols 2026;15:e89602 View
  13. Мелега К, Ковальчук О, Кухар Н. Інтеграція цифрових реабілітаційних платформ у комплексну терапію пацієнтів після гострих серцево-судинних подій та оцінка її ефективності. Likarska sprava 2026;(2) View
  14. Aldosari H. Artificial Intelligence in Healthcare Administration and Clinical Informatics: A Critical Review and Governance Roadmap. Healthcare 2026;14(11):1497 View
  15. Olshansky B. Top developments in clinical cardiac electrophysiology–2025. Heart Rhythm O2 2026 View
  16. Ghram A, Loureiro Diaz J, Raghavan P, Hautala A, Kaddoura R, Laukkanen J, Kunutsor S, Elrayess M, Knechtle B, Weiss K, Rosemann T, Sharif S, Bonikowske A, Eijsvogels T, Pescatello L, Kaminsky L, Babu A, Biondi-Zoccai G, Giráldez-García M, Nauman J, Lippi G, Niebauer J, Perone F, Chamari K, Sabbour H, Paniagua M, Omar S, Turk-Adawi K, Supervia M, Hedaya L, Ibrahim O, Suliman M, Jayaprabha Surendran P, Martinez-Bussion D, Al Shamari M, Alhashemi M, Agab T, Ahmad R, Ajimsha M, Staron A, Shabana A, Albatini A, Alqahtani A, Aljehani R, Aladab A, Sattar H, Moholdt T, Sandbakk Ø, Lavie C, Ben Saad H. Toward Precision Cardiac Rehabilitation: Current Limitations and Future Opportunities of Omics and Artificial Intelligence. Sports Medicine 2026 View
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