Introducing an AI-based Response Framework for Mass Casualty Management

Nistor Marian Sorin; Loi Cao Van; Son Pham Truong; Pickl Stefan Wolfgang; Gaindric Constantin; Cojocaru Svetlana

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2023-09-25 06:34

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NISTOR, Marian Sorin, LOI CAO, Van, SON PHAM, Truong, PICKL, Stefan Wolfgang, GAINDRIC, Constantin, COJOCARU, Svetlana. Introducing an AI-based Response Framework for Mass Casualty Management. In: International Conference on Intelligent Information Systems, Ed. 2020, 4-5 decembrie 2020, Chișinău. Chișinău: "VALINEX" SRL, 2020, pp. 125-130. ISBN 978-9975-68-415-6.

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International Conference on Intelligent Information Systems 2020

Conferința "International Conference on Intelligent Information Systems"
2020, Chișinău, Moldova, 4-5 decembrie 2020

Introducing an AI-based Response Framework for Mass Casualty Management

Pag. 125-130

Nistor Marian Sorin¹, Loi Cao Van², Son Pham Truong¹, Pickl Stefan Wolfgang¹, Gaindric Constantin³, Cojocaru Svetlana³

¹ Bundeswehr University Munich,
² Le Quy Don Technical University,
³ Vladimir Andrunachievici Institute of Mathematics and Computer Science

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Menționat în lucrare: 20.80009.5007.22 Sisteme informatice inteligente pentru soluționarea problemelor slab structurate, procesarea cunoștințelor și volumelor mari de date

Disponibil în IBN: 10 decembrie 2020

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Rezumat

Advances made in Artificial Intelligence over the last couple of years have revealed certain limitations to traditional Mass Casualty Management (MCM). This paper introduces a MCM response framework using state-of-the-art OR-based models of existing AI solutions aimed to optimize each stage (extrication, triage, and transportation) of the response phase during a Mass Casualty Incident (MCI).

Cuvinte-cheie
Mass Causality Management, AI-based solutions, extrication, triage, and transportation