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

Formative Evaluation of Digital Health Interventions (3251) Artificial Intelligence (2144) Novel Sensors and Data Acquisition Methods in Cardiology (225)

Published on in Vol 6, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41241, first published .
Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study

Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study

Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study

Authors of this article:

Sara Chokshi1 Author Orcid Image ;   Gulzhan Tologonova2 Author Orcid Image ;   Rose Calixte3 Author Orcid Image ;   Vandana Yadav1 Author Orcid Image ;   Naveed Razvi4 Author Orcid Image ;   Jason Lazar2 Author Orcid Image ;   Stan Kachnowski1, 5, 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (24) Metrics

Journals

  1. Diodato S, Bardacci Y, El Aoufy K, Belli S, Bambi S. Early myopericarditis diagnosed in a 31-year-old patient using smartwatch technology: A case report. International Emergency Nursing 2023;71:101365 View
  2. Dechert B, LaPage M. When Do Smartwatch Heart Rate Concerns in Children Indicate Arrhythmia?. The Journal of Pediatrics 2023;263:113717 View
  3. Hoek L, Brouwer J, Voors A, Maass A. Smart devices to measure and monitor QT intervals. Frontiers in Cardiovascular Medicine 2023;10 View
  4. Muzammil M, Javid S, Afridi A, Siddineni R, Shahabi M, Haseeb M, Fariha F, Kumar S, Zaveri S, Nashwan A. Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases. Journal of Electrocardiology 2024;83:30 View
  5. Choe J, Kang M. Apple watch accuracy in monitoring health metrics: a systematic review and meta-analysis. Physiological Measurement 2025;46(4):04TR01 View
  6. Chen R, Miao F, Wang Y, Lu T, Qin C, Fang Y, Wang Y, Wang H, Cao F. Diagnostic accuracy of wearable ECG and assessment of ventricular repolarization and its cardiovascular risks post cold stress. Scientific Reports 2025;15(1) View
  7. Bartusik-Aebisher D, Rogóż K, Aebisher D. Artificial Intelligence and ECG: A New Frontier in Cardiac Diagnostics and Prevention. Biomedicines 2025;13(7):1685 View
  8. Nikentari L, Kristianto H, Yuliatun L, Haedar A, Tirma Irawan P. Artificial intelligence for improved decision-making in diabetic emergency survival: A cross-sectional study. International Emergency Nursing 2025;83:101700 View