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

Linas Darginavicius; Jone Vencloviene; Paulius Dobozinskas; Egle Vaitkaitiene; Dinas Vaitkaitis; Andrius Pranskunas; Asta Krikscionaitiene

doi:10.1016/j.cpcardiol.2023.101915

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

Curr Probl Cardiol. 2023 Nov;48(11):101915. doi: 10.1016/j.cpcardiol.2023.101915. Epub 2023 Jun 30.

Authors

Linas Darginavicius¹, Jone Vencloviene², Paulius Dobozinskas³, Egle Vaitkaitiene⁴, Dinas Vaitkaitis³, Andrius Pranskunas⁵, Asta Krikscionaitiene³

Affiliations

¹ Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania. Electronic address: linas.darginavicius@lsmuni.lt.
² Department of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, Kaunas, Lithuania.
³ Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
⁴ Department of Disaster Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania; Department of Public Health, Lithuanian University of Health Sciences, Kaunas, Lithuania.
⁵ Department of Intensive Care Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.

PMID: 37392980
DOI: 10.1016/j.cpcardiol.2023.101915

Abstract

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.

Publication types

Review

MeSH terms

Artificial Intelligence
Cardiopulmonary Resuscitation*
Emergency Medical Services*
Humans
Out-of-Hospital Cardiac Arrest* / diagnosis
Out-of-Hospital Cardiac Arrest* / therapy