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

Wearables and MHealth Reviews (332) Mobile Health (mhealth) (3732) Wearable Devices and Sensors (1241) Novel Sensors and Data Acquisition Methods in Cardiology (238) Artificial Intelligence (2441)

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 .
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

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 (10) Tweetations (1) Metrics

Journals

  1. Xia Q, Zou K. Health challenges and frontier solutions for the post-80s and post-90s generation. Trends in Food Science & Technology 2026;169:105563 View
  2. Zhang Y, Chen H, Chen X, Gao S, Zhu W, Hu L, Li Y, Sun H. Monitoring and evaluation instruments of individual health in community settings: a scoping review. Archives of Public Health 2026;84(1) View
  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
  4. Jankauskas S, Varzideh F, Kansakar U, Santulli G. Artificial Intelligence in Cardiovascular Medicine: A Giant Step in Personalized Medicine?. Journal of Personalized Medicine 2026;16(4):192 View
  5. Varzideh F, Pande S, Jankauskas S, Mone P, Kansakar U, Santulli G. Artificial intelligence in neurocardiology: decoding brain–heart network interactions for clinical and translational insights. Frontiers in Neuroscience 2026;20 View
  6. Mumtaz A, Zainab H, Singh N. Artificial Intelligence–Driven Multimodal Modeling for Personalized Cardiac Therapy Optimization. International Journal of Innovative Research in Computer Science and Technology 2026;14(1):158 View
  7. Gao C, Fu P, Du W, Li Y. Integrating digital health and remote monitoring: emerging trends in cardiac rehabilitation research for chronic heart failure. Frontiers in Cardiovascular Medicine 2026;13 View
  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
  10. Myśliwiec A, Bartusik-Aebisher D, Xavierselvan M, Paul A, Aebisher D. Deep Learning and Cardiovascular Diseases: An Updated Narrative Review. Journal of Clinical Medicine 2026;15(8):3053 View