Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44642, first published .
Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Accuracy of a Standalone Atrial Fibrillation Detection Algorithm Added to a Popular Wristband and Smartwatch: Prospective Diagnostic Accuracy Study

Journals

  1. Turcu A, Ilie A, Ștefăniu R, Țăranu S, Sandu I, Alexa-Stratulat T, Pîslaru A, Alexa I. The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events. Diagnostics 2023;13(14):2382 View
  2. Guo R, Tian X, Bazoukis G, Tse G, Hong S, Chen K, Liu T. Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia. Pacing and Clinical Electrophysiology 2024;47(6):789 View
  3. Josemans S, Lindeboom L, Gerritsen K, Wieringa F, Kooman J, Rotmans J. Home monitoring of patients with chronic kidney disease. Nature Reviews Nephrology 2024;20(8):491 View
  4. Menezes Junior A, e Silva A, e Silva L, de Lima K, Oliveira H. A Scoping Review of the Use of Artificial Intelligence in the Identification and Diagnosis of Atrial Fibrillation. Journal of Personalized Medicine 2024;14(11):1069 View
  5. Köhler C, Bartschke A, Fürstenau D, Schaaf T, Salgado-Baez E. The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research. Journal of Medical Internet Research 2024;26:e58936 View