This paper is in the following e-collection/theme issue:

Artificial Intelligence (2249) Cardiac Disease Management (163) Machine Learning (2167) Advanced Data Analytics in eHealth (222) Clinical Information and Decision Making (2004) New Methods (1153) Cardiac Risk and Cardiac Risk Calculators (111)

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

Authors of this article:

Shao-Chi Lu1 Author Orcid Image ;   Guang-Yuan Chen1 Author Orcid Image ;   An-Sheng Liu1 Author Orcid Image ;   Jen-Tang Sun2 Author Orcid Image ;   Jun-Wan Gao3 Author Orcid Image ;   Chien-Hua Huang3 Author Orcid Image ;   Chu-Lin Tsai3 Author Orcid Image ;   Li-Chen Fu1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Lialiou P, Maglogiannis I. Students’ Burnout Symptoms Detection Using Smartwatch Wearable Devices: A Systematic Literature Review. AI Sensors 2025;1(1):2 View
  2. Feng N, Chen C, Du P, Gong C, Pei J, Huang D. MS-LTCAF: A Multi-Scale Lead-Temporal Co-Attention Framework for ECG Arrhythmia Detection. Bioengineering 2025;12(9):1007 View
  3. Han C, Soh S, Park J, Pak H, Yoon D. Artificial Intelligence–Based Electrocardiogram Model as a Predictor of Postoperative Atrial Fibrillation Following Cardiac Surgery: Retrospective Cohort Study. Journal of Medical Internet Research 2025;27:e77164 View
  4. Franceschi F, Ayar P, Hassan T, Gries A. Artificial intelligence to improve patient care in emergency medicine: a workflow-based analysis. Internal and Emergency Medicine 2025 View
  5. He S, Du M, Wang Z, Zang Y, Ning G, Pang S, Wan Y, Wang Y, Zuo M, Luan B, Duan N. Artificial intelligence in electrocardiogram signals for sudden cardiac death prediction: a systematic review and meta-analysis. Systematic Reviews 2025;15(1) View