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

Wearables and MHealth Reviews (320) Mobile Health (mhealth) (3570) Wearable Devices and Sensors (1177) Novel Sensors and Data Acquisition Methods in Cardiology (232) Artificial Intelligence (2252)

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 (3) Tweetations 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 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