Showing results (181-190 of 293) with videos related to

Sort By:
Pageof 30
JMIR Cardio|December 15, 2025
Using Patient-Held Devices to Measure Variations in Resting Heart Rate and Step Count Prior to Presentation With an Acute Illness: International, Multicenter Flash Mob Feasibility StudyJason G A den Duijn, Ahmed A M Hajjaj, John Kellett, et al.
JMIR Cardio|November 26, 2025
The Impact of Digital Intervention Messages Targeting Users With High Blood Pressure Events: Retrospective Real-World StudyYifat Fundoiano-Hershcovitz, Inbar Breuer Asher, Marilyn D Ritholz, et al.
JMIR Cardio|December 31, 2025
Predicting Atrial Fibrillation Ablation Outcomes: Machine Learning Model Development and Validation Using a Large Administrative Claims DatabaseYijun Liu, Mustapha Oloko-Oba, Kathryn A Wood, et al.
JMIR Cardio|November 11, 2025
Web-Based Platform for the Chilean Cardiac Surgery Registry: Algorithm Development and Validation StudySergio Guinez-Molinos, Enrique Seguel, Jaime Gonzalez, et al.
JMIR Cardio|July 8, 2025
Improving the Readability of Institutional Heart Failure-Related Patient Education Materials Using GPT-4: Observational StudyRyan C King, Jamil S Samaan, Joseph Haquang, et al.
JMIR Cardio|May 12, 2025
Augmenting Engagement in Decentralized Clinical Trials for Atrial Fibrillation: Development and Implementation of a Programmatic ArchitectureToluwa Daniel Omole, Andrew Mrkva, Danielle Ferry, et al.
JMIR Cardio|May 12, 2025
Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population-Based StudyThien Vu, Yoshihiro Kokubo, Mai Inoue, et al.
JMIR Cardio|July 18, 2025
Barriers and Enablers to Routine Clinical Implementation of Cardiac Implantable Electronic Device Remote Monitoring in Australia Among Cardiologists, Cardiac Physiologists, Nurses, and Patients: Interview StudyBrodie Sheahen, Edel T O'Hagan, Kenneth Cho, et al.
JMIR Cardio|May 9, 2025
Prerequisites for Cost-Effective Home Blood Pressure Telemonitoring: Early Health Economic AnalysisJob van Steenkiste, Pim van Dorst, Daan Dohmen, et al.
JMIR Cardio|November 10, 2025
Photoplethysmography-Based Machine Learning Approaches for Atrial Fibrillation Burden: Algorithm Development and ValidationHong Wang, Binbin Liu, Hui Zhang, et al.
Pageof 30