创伤普森:为前线医生提供临床决策支持
Eleanor Birch1, Kyle Couperus1,2, Chad Gorbatkin1
1Department of Emergency Medicine, Madigan Army Medical Center, JBLM, WA 98431, USA.
Military medicine
|November 10, 2023
概括
创伤THOMPSON提供了一个线下移动应用程序与AI和AR指导军事医生在长期伤亡护理. 这项技术提高了远程,通信有限的环境中提供商的信心和能力.
科学领域:
- 医学技术 医学技术 医学技术
- 军事医学 军事医学
- 人工智能的人工智能
背景情况:
- 由于疏散时间延长,军事医疗保健提供者在长时间的伤亡护理中面临着挑战.
- 缺乏经验的提供者可能在严格的环境中提供关键护理,需要加强支持.
- 远程医疗,人工智能和AR提供了潜在的解决方案,以提高关键护理提供能力和信心.
研究的目的:
- 开发创伤医疗程序支持和离线网络 (THOMPSON) 应用程序的创伤电话助手.
- 创建一个语音控制的移动应用程序,包含视频引用,音频叙述和人工智能引导的AR干预.
- 为在通讯有限的环境中为长期伤亡护理提供线下程序指导.
主要方法:
- 开发一个语音控制的移动应用程序,带有视频和音频程序指导.
- 使用增强现实 (AR) 覆盖和语音命令集成人工智能引导的干预系统.
- 收集用于参考材料和机器学习算法培训的程序视频.
主要成果:
- 开始进行初步的视频收集,用于关键的手术,如管胸切除术和cricothyrotomy.
- 机器学习算法在最初的"自然"数据集中实现了20.1%的动作识别和11.4%的预测准确性.
- 该系统的性能比随机预测要好100倍以上.
结论:
- 普森平台旨在提供实时,离线的临床决策支持.
- 它解决了针对偏远和通信有限的环境的可用工具的差距.
- 该技术有可能在长时间的伤亡护理场景中显著地使军事医疗提供者受益.
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