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Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87142, first published .
Phone displaying AF High Risk ECG results next to a person applying a wearable heart monitor patch.

Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data

Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data

Minje Park   1 , MS ;   Hyun Jin Ahn   1 , MD ;   Yeongyeon Na   1 , MS ;   Sunghoon Joo   1 , PhD ;   Young Ho Lee   2, 3 , MS ;   Seongwoo Han   4 , MD, PhD ;   Myung Soo Park   4 , MD ;   Dae Young Cheon   4 , MD ;   Jeen Hwa Lee   4 , MD, PhD ;   Ki Hong Lee   3, 5 , MD, PhD

1 VUNO Inc., Seoul, Republic of Korea

2 Department of Biomedical Sciences, Chonnam National University Graduate School, Gwangju, Republic of Korea

3 Department of Cardiovascular Medicine, Chonnam National University Hospital, Gwangju, Republic of Korea

4 Division of Cardiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea

5 Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea

Corresponding Author:

  • Ki Hong Lee, MD, PhD
  • Department of Cardiovascular Medicine
  • Chonnam National University Hospital
  • The Heart Center of Chonnam National University Hospital, 42 Jaebongro, Dong-gu
  • Gwangju 61469
  • Republic of Korea
  • Phone: 82 62-220-6242
  • Fax: 82 62-223-3105
  • Email: drgood2@naver.com