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

BACKGROUND: Overcrowding of hospitals and emergency departments (EDs) is a growing problem. However, not all ED consultations are necessary. For example, 80% of patients in the ED with chest pain do not have an acute coronary syndrome (ACS). Artificial intelligence (AI) is useful in analyzing (medic...

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Detalles Bibliográficos
Autores principales: de Koning, Enrico, van der Haas, Yvette, Saguna, Saguna, Stoop, Esmee, Bosch, Jan, Beeres, Saskia, Schalij, Martin, Boogers, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646678/
https://www.ncbi.nlm.nih.gov/pubmed/37906226
http://dx.doi.org/10.2196/51375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646678/
https://www.ncbi.nlm.nih.gov/pubmed/37906226
http://dx.doi.org/10.2196/51375

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