Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67576, first published .
Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

Shao-Chi Lu   1 , MS ;   Guang-Yuan Chen   1 , BS ;   An-Sheng Liu   1 , MS ;   Jen-Tang Sun   2 , MD ;   Jun-Wan Gao   3 , BS ;   Chien-Hua Huang   3 , MD, PhD ;   Chu-Lin Tsai   3 * , MD, SCD ;   Li-Chen Fu   1 * , PhD

1 Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

2 Department of Emergency Medicine, Far Eastern Memorial Hospital, Taipei, Taiwan

3 Department of Emergency Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Chu-Lin Tsai, MD, SCD
  • Department of Emergency Medicine
  • National Taiwan University Hospital and National Taiwan University College of Medicine
  • No.1 Jen-Ai Road
  • Taipei, 100
  • Taiwan
  • Phone: 886 23123456 ext 267684
  • Email: chulintsai@ntu.edu.tw