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

Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine (6) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Machine Learning (1501) Coronary Heart Disease (81) Artificial Intelligence (1421) Computer-Aided Diagnosis (135) Advanced Data Analytics in eHealth (142)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51375, first published .
AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study

AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study

AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study

Authors of this article:

Enrico de Koning1 Author Orcid Image ;   Yvette van der Haas2 Author Orcid Image ;   Saguna Saguna2 Author Orcid Image ;   Esmee Stoop3 Author Orcid Image ;   Jan Bosch4 Author Orcid Image ;   Saskia Beeres1 Author Orcid Image ;   Martin Schalij1 Author Orcid Image ;   Mark Boogers1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Enrico de Koning   1 , MD ;   Yvette van der Haas   2 , MSc ;   Saguna Saguna   2 , Prof Dr ;   Esmee Stoop   3 , MSc ;   Jan Bosch   4 , RN ;   Saskia Beeres   1 , MD, PhD ;   Martin Schalij   1 , MD, Prof Dr ;   Mark Boogers   1 , MD, PhD

1 Cardiology Department, Leiden University Medical Center, Leiden, Netherlands

2 Lulea University of Technology, Lulea, Sweden

3 Clinical AI and Research lab, Leiden University Medical Center, Leiden, Netherlands

4 Research and Development, Regional Ambulance Service Hollands-Midden, Leiden, Netherlands

Corresponding Author:

  • Mark Boogers, MD, PhD
  • Cardiology Department
  • Leiden University Medical Center
  • Albinusdreef 2
  • Leiden, 2333 ZA
  • Netherlands
  • Phone: 31 715269111
  • Email: j.m.j.boogers@lumc.nl