Smart Devices in Detecting AF: Excellent Signal Quality, But AI Can Still Learn From Clinicians

Affiliations

¹ Department of Cardiology, Monash University, Eastern Health Clinical School, Victoria, Australia; Department of Cardiology, The University of Melbourne, Austin Hospital Clinical School, Melbourne, Australia. Electronic address: andrew.teh@easternhealth.org.au.
² Department of Internal Medicine B, Cardiology, Angiology & Pneumology, University Medicine of Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany.

Editorial

Andrew W Teh et al. JACC Clin Electrophysiol. 2023 Feb.

. 2023 Feb;9(2):243-245.

doi: 10.1016/j.jacep.2022.10.036.

¹ Department of Cardiology, Monash University, Eastern Health Clinical School, Victoria, Australia; Department of Cardiology, The University of Melbourne, Austin Hospital Clinical School, Melbourne, Australia. Electronic address: andrew.teh@easternhealth.org.au.
² Department of Internal Medicine B, Cardiology, Angiology & Pneumology, University Medicine of Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Greifswald, Germany.

No abstract available

Keywords: atrial fibrillation; digital health; intelligent electrocardiogram; smartwatch.

Conflict of interest statement

Funding Support and Author Disclosures The authors have reported that they have no relationships relevant to the contents of this paper to disclose.

Clinical Validation of 5 Direct-to-Consumer Wearable Smart Devices to Detect Atrial Fibrillation: BASEL Wearable Study.
Mannhart D, Lischer M, Knecht S, du Fay de Lavallaz J, Strebel I, Serban T, Vögeli D, Schaer B, Osswald S, Mueller C, Kühne M, Sticherling C, Badertscher P. Mannhart D, et al. JACC Clin Electrophysiol. 2023 Feb;9(2):232-242. doi: 10.1016/j.jacep.2022.09.011. Epub 2023 Jan 18. JACC Clin Electrophysiol. 2023. PMID: 36858690