AI-Enabled Public Surveillance Cameras for Rapid Emergency Medical Service Activation in Out-of-Hospital Cardiac Arrests.

Autor: Darginavicius L; Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania. Electronic address: linas.darginavicius@lsmuni.lt., Vencloviene J; Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, Kaunas, Lithuania., Dobozinskas P; Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania., Vaitkaitiene E; Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania; Department of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania., Vaitkaitis D; Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania., Pranskunas A; Department of Intensive Care Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania., Krikscionaitiene A; Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Jazyk: angličtina
Zdroj: Current problems in cardiology [Curr Probl Cardiol] 2023 Nov; Vol. 48 (11), pp. 101915. Date of Electronic Publication: 2023 Jun 30.
DOI: 10.1016/j.cpcardiol.2023.101915
Abstrakt: This study aims to evaluate the potential usefulness of a novel artificial intelligence (AI)-based video processing algorithm for rapidly activating ambulance services (EMS) in unwitnessed out-of-hospital cardiac arrest (OHCA) cases in public places. We hypothesized that AI should activate EMS using public surveillance cameras after detecting a person fallen due to OHCA. We created an AI model based on our experiment performed at the Lithuanian University of Health Sciences, Kaunas, Lithuania, in Spring 2023. Our research highlights the potential benefits of AI-based surveillance cameras for rapidly detecting and activating EMS during cardiac arrests.
Competing Interests: Declaration of Competing Interest The authors declare that they have no competing financial interests or personal relationships that may have influenced the work reported in this study.
(Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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