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 (1584) Decision Support for Health Professionals (1310) Machine Learning (1661) Coronary Heart Disease (92) Artificial Intelligence (1641) Computer-Aided Diagnosis (170) Advanced Data Analytics in eHealth (158)

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
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New in JMIR Cardio: AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study https://t.co/nuQjctbs1z https://t.co/CwMljU4vml

1:46 PM · Oct 31, 2023

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RT @jmirpub: New in JMIR Cardio: AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study ht…

1:46 PM · Oct 31, 2023

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