AIMC Topic: Mass Casualty Incidents

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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization.

PloS one
OBJECTIVE: This study aimed to evaluate the effectiveness of a virtual reality (VR) training system for mass casualty management, integrating artificial intelligence (AI) and machine learning (ML) to analyze trainee performance and error patterns. Th...

Bridging Data Gaps in Emergency Care: The NIGHTINGALE Project and the Future of AI in Mass Casualty Management.

Journal of medical Internet research
In the context of mass casualty incident (MCI) management, artificial intelligence (AI) represents a promising future, offering potential improvements in processes such as triage, decision support, and resource optimization. However, the effectivenes...

Application of artificial intelligence in triage in emergencies and disasters: a systematic review.

BMC public health
INTRODUCTION AND OBJECTIVE: Modern and intelligent triage systems are used today due to the growing trend of disasters and emergencies worldwide and the increase in the number of injured people facing the challenge of using traditional triage methods...

Operational and Financial Considerations of Using Drones for Medical Support of Mass Events in Poland.

Disaster medicine and public health preparedness
OBJECTIVE: The implementation of drones in the medical security system requires a proper planning of the cooperation of different services, dividing the area into sectors, assessing potential risks, and other factors. This study refers to the cost an...

A remotely piloted aircraft system in major incident management: concept and pilot, feasibility study.

BMC emergency medicine
BACKGROUND: Major incidents are complex, dynamic and bewildering task environments characterised by simultaneous, rapidly changing events, uncertainty and ill-structured problems. Efficient management, communication, decision-making and allocation of...

Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the...