Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence‐Based Electrocardiogram Data

Pil‐Sung Yang, Hanjin Park, Oh‐Seok Kwon, Je‐Wook Park, Daehoon Kim, Hee Tae Yu, Tae‐Hoon Kim, Jae‐Sun Uhm, Boyoung Joung, Hui‐Nam Pak

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DOI: 10.1002/joa3.70463
Published: 2026-09-24
Container: Journal of Arrhythmia
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/joa3.70463,
  title = {Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence‐Based Electrocardiogram Data},
  author = {Pil‐Sung Yang and Hanjin Park and Oh‐Seok Kwon and Je‐Wook Park and Daehoon Kim and Hee Tae Yu and Tae‐Hoon Kim and Jae‐Sun Uhm and Boyoung Joung and Hui‐Nam Pak},
  year = {2026},
  journal = {Journal of Arrhythmia},
  doi = {10.1002/joa3.70463},
  url = {https://doi.org/10.1002/joa3.70463}
}

RIS

TY  - JOUR
TI  - Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence‐Based Electrocardiogram Data
AU  - Pil‐Sung Yang
AU  - Hanjin Park
AU  - Oh‐Seok Kwon
AU  - Je‐Wook Park
AU  - Daehoon Kim
AU  - Hee Tae Yu
AU  - Tae‐Hoon Kim
AU  - Jae‐Sun Uhm
AU  - Boyoung Joung
AU  - Hui‐Nam Pak
PY  - 2026
JO  - Journal of Arrhythmia
DO  - 10.1002/joa3.70463
UR  - https://doi.org/10.1002/joa3.70463
ER  -

APA

Yang, P., Park, H., Kwon, O., Park, J., Kim, D., Yu, H. T., Kim, T., Uhm, J., Joung, B., & Pak, H. (2026). Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence‐Based Electrocardiogram Data. Journal of Arrhythmia. https://doi.org/10.1002/joa3.70463

Source records

crossref · retrieved 2026-09-25T20:14:23.720Z