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 (1465) Decision Support for Health Professionals (1232) Machine Learning (1534) Coronary Heart Disease (84) Artificial Intelligence (1479) Computer-Aided Diagnosis (143) 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 (2) Tweetations (2) Metrics

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  2. Lökholm E, Magnusson C, Herlitz J, Ravn-Fischer A, Hammarsten O, Johansson M, Hallin K, Wibring K. The development of a decision support tool in the prehospital setting for acute chest pain – a study protocol for an observational study (BRIAN2). Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 2025;33(1) View