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作战医学中人工智能的机遇:来自美国军方的经验教训。

Opportunities for Artificial Intelligence in Operational Medicine: Lessons from the United States Military.

作者信息

Rakhilin Nikolai, Morris H Douglas, Pham Dzung L, Hood Maureen N, Ho Vincent B

机构信息

Department of Radiology and Bioengineering, Uniformed Services University for Health Science, 4301 Jones Bridge Rd, Bethesda, MD 20814, USA.

出版信息

Bioengineering (Basel). 2025 May 14;12(5):519. doi: 10.3390/bioengineering12050519.

Abstract

Conducted in challenging environments such as disaster or conflict areas, operational medicine presents unique challenges for the delivery of efficient and quality healthcare. It exposes first responders and medical personnel to many unexpected health risks and dangerous situations. To tackle these issues, artificial intelligence (AI) has been progressively incorporated into operational medicine, both on the front lines and also more recently in support roles. The ability of AI to rapidly analyze high-dimensional data and make inferences has opened up a wide variety of opportunities and increased efficiency for its early adopters, notably for the United States military, for non-invasive medical imaging and for mental health applications. This review discusses the current state of AI and highlights its broad array of potential applications in operational medicine as developed for the United States military.

摘要

在灾难或冲突地区等具有挑战性的环境中开展的战地医学,在提供高效和优质医疗保健方面面临着独特的挑战。它使急救人员和医务人员面临许多意想不到的健康风险和危险情况。为了解决这些问题,人工智能(AI)已逐渐被应用于战地医学,既用于前线,也用于最近的支持性工作。人工智能快速分析高维数据并进行推理的能力为其早期采用者带来了广泛的机会并提高了效率,特别是对于美国军方、非侵入性医学成像和心理健康应用而言。本综述讨论了人工智能的现状,并强调了其在美国军方开发的战地医学中的广泛潜在应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f64/12108871/33241a92d548/bioengineering-12-00519-g001.jpg

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