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前线的人工智能:军事卫生专业人员入门指南。

AI on the Front Lines: A Primer for the Military Health Professional.

作者信息

Riggenbach Zachary William, Van Eaton John, Kelly Abigail Amina, Kim Ha Eun, Bingham Jason Ray

机构信息

Department of General Surgery, Madigan Army Medical Center, Joint Base Lewis-McChord, Lacey, WA 98431, United States.

School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD 4301, United States.

出版信息

Mil Med. 2025 May 5. doi: 10.1093/milmed/usaf165.

Abstract

BACKGROUND

Artificial Intelligence (AI) has become a key component of the U.S. Army Medical Modernization Strategy, which seeks to enhance military health care through innovative technologies. Within the Military Health System (MHS), AI applications in diagnostics, patient monitoring, logistical support, and trauma management are under active exploration.

APPLICATIONS

Key initiatives include AI-driven telementoring, decision support tools, automated trauma documentation, and remote patient monitoring. These technologies aim to improve care delivery and operational efficiency in combat zones, particularly during mass casualty incidents and in resource-limited environments.

CHALLENGES

Implementation faces significant obstacles, including the need for robust data collection methods, secure and interoperable storage solutions, and frameworks to address ethical and trust issues. Decentralized storage technologies, such as blockchain, and explainable AI systems are proposed to enhance reliability and transparency.

STRATEGIC CONSIDERATIONS

Advancements by near-peer adversaries, such as China and Russia, in AI-driven military health care underscore the urgency for the United States to accelerate its integration efforts. The U.S. Army Medical Modernization Strategy emphasizes interagency collaboration and targeted research as critical components for maintaining a strategic edge.

CONCLUSION

Artificial Intelligence-driven automation offers a transformative pathway for military trauma care, enabling enhanced efficiency and resilience. Addressing implementation barriers and aligning efforts with the U.S. Army Medical Modernization Strategy are essential to ensure operational superiority and improved survival outcomes on the battlefield.

摘要

背景

人工智能(AI)已成为美国陆军医疗现代化战略的关键组成部分,该战略旨在通过创新技术提升军事医疗保健水平。在军事卫生系统(MHS)内,人工智能在诊断、患者监测、后勤支持和创伤管理方面的应用正在积极探索中。

应用

关键举措包括人工智能驱动的远程指导、决策支持工具、自动创伤记录和远程患者监测。这些技术旨在提高作战区域的医疗服务提供和运营效率,特别是在大规模伤亡事件期间和资源有限的环境中。

挑战

实施面临重大障碍,包括需要强大的数据收集方法、安全且可互操作的存储解决方案,以及解决伦理和信任问题的框架。有人提议采用区块链等去中心化存储技术和可解释的人工智能系统来提高可靠性和透明度。

战略考量

中国和俄罗斯等近邻对手在人工智能驱动的军事医疗保健方面的进展凸显了美国加速其整合努力的紧迫性。美国陆军医疗现代化战略强调跨部门合作和有针对性的研究是保持战略优势的关键组成部分。

结论

人工智能驱动的自动化为军事创伤护理提供了一条变革性途径,能够提高效率和恢复力。解决实施障碍并使各项努力与美国陆军医疗现代化战略保持一致,对于确保作战优势和改善战场上的生存结果至关重要。

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