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

Theme Issue (2023): Generative & Multimodal AI in Digital Cardiovascular Medicine (8) Clinical Information and Decision Making (1915) Decision Support for Health Professionals (1539) Machine Learning (2076) Coronary Heart Disease (109) Artificial Intelligence (2129) Computer-Aided Diagnosis (251) Advanced Data Analytics in eHealth (209)

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 (9) Tweetations (2) Metrics

Journals

  1. Stalp J, Denecke A, Jentschke M, Hillemanns P, Klapdor R. Quality of ChatGPT-Generated Therapy Recommendations for Breast Cancer Treatment in Gynecology. Current Oncology 2024;31(7):3845 View
  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
  3. Miller E, Franc J, Hertelendy A, Issa F, Hart A, Woodward C, Newbury B, Newbury K, Mathew D, Whitten-Chung K, Bauer E, Voskanyan A, Ciottone G. Accuracy of Commercial Large Language Model (ChatGPT) to Predict the Diagnosis for Prehospital Patients Suitable for Ambulance Transport Decisions: Diagnostic Accuracy Study. Prehospital Emergency Care 2025;29(3):238 View
  4. Porcellato E, Lanera C, Ocagli H, Danielis M. Exploring Applications of Artificial Intelligence in Critical Care Nursing: A Systematic Review. Nursing Reports 2025;15(2):55 View
  5. Zheng X, Zou H, Wu L, Dong P, Yuan W, Chen Y. Generative artificial intelligence in cardiovascular specialty care: a scoping review. BMC Nursing 2025;24(1) View
  6. Tran H, Thu A, Twayana A, Fuertes A, Gonzalez M, Basta M, Mehta K, James M, Frishman W, Aronow W. AI-Guided Decision Support in Acute Cardiac Care: From Chest Pain to STEMI. Cardiology in Review 2025 View
  7. Chen S, Wu C, Chen K. Navigating AI in cardiology: A scoping review of integration through clinical decision support systems for acute coronary syndrome. Biomedical Journal 2025;48(5):100853 View
  8. Brito do Nascimento J, Da Silva Barreto G, Cristina Santos de Almeida K, Carlos Marcolino Neto J, Lucas Ferreira Luz da Silva S. Chatbots and AI Systems for Pre-Hospital Care. International Healthcare Review (online) 2025 View

Books/Policy Documents

  1. Giaj Levra A. The First Steps of Artificial Intelligence in Cardiology. View