CAMMRAD PREPARE:用于临床培训应急第一反应小组的可穿戴AI-AR平台

J. Doswell, Justin Johnson, Brandon Brockington, Aaron Mosby, Arthur Chinery
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引用次数: 1

摘要

近topia®开放式穿戴研究团队与马里兰州消防与救援研究所(MFRI)合作,测试近topia®人工智能(AI)可穿戴增强现实(AR)干预如何更好地为消防员紧急医疗技术人员(EMT)提供免提临床培训干预,并为他们有效应对危险物质(HAZMAT)事件做好准备。在一项对照研究中,人类受试者参加了一项风险最小的研究(即,作为受害者或护理者),其中消防急救人员参加了模拟现实世界操作的模拟训练演习。在研究过程中,有两个测试日。第一天包括(10)名受害者和(20)名护理人员,他们参加了一整天的培训,并熟悉了可穿戴AR头戴式显示器(HMD)和一个虚拟导师(JVT)软件应用程序。结果表明,人工智能指导员支持的AR系统可以培训emt有效应对危险物质的核心临床技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Juxtopia® CAMMRAD PREPARE: Wearable AI-AR Platform for Clinical Training Emergency First Response Teams
The Juxtopia® Open-Wear research team collaborated with the Maryland Fire & Rescue Institute (MFRI) to test how the Juxtopia® artificial intelligent (AI) wearable augmented reality (AR) intervention may better deliver a hands-free clinical training intervention to firefighter Emergency Medical Technicians (EMT) and prepare them for effective response to hazardous material (HAZMAT) incidences. During a controlled study, human subjects participated in a minimal risk research (i.e., both as victims or caregivers) in which firefighter EMTs participated in a simulated training exercise that mimicked their real-world operations. During the study, there were two testing days. Day one included (10) victims and (20) caregivers who participated in a full day of training and familiarized themselves with wearable AR Head Mounted Display (HMD) and a Juxtopia® Virtual Tutor (JVT) software application. The results demonstrated that an AI instructor enabled AR system can train EMTs in core clinical skills for effective HAZMAT response.
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