Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA.
Command Surgeon, United States European Command (EUCOM), HQ USEUCOM Unit 30400 APO AE 0913.
Mil Med. 2024 Aug 30;189(9-10):244-248. doi: 10.1093/milmed/usae359.
Artificial intelligence (AI) has garnered significant attention for its pivotal role in the national security and health care sectors. However, its utilization in military medicine remains relatively unexplored despite its immense potential. AI operates through evolving algorithms that process extensive datasets, continuously improving accuracy and emulating human learning processes. Generative AI, a type of machine learning, uses algorithms to generate new content, such as images, text, videos, audio, and computer code. These models employ deep learning to encode simplified representations of training data and generate new work resembling the original without being identical. Although many AI applications in military medicine are theoretical, the U.S. Military has implemented several initiatives, often without widespread awareness among its personnel. This article aims to shed light on two resilience initiatives spearheaded by the Joint Artificial Intelligence Center, which is now the Chief Digital and Artificial Intelligence Office. These initiatives aim to enhance commanders' dashboards for predicting troop behaviors and develop models to forecast troop suicidality. Additionally, it outlines 5 key AI applications within military medicine, including (1) clinical efficiency and routine decision-making support, (2) triage and clinical care algorithms for large-scale combat operations, (3) patient and resource movements in the medical common operating picture, (4) health monitoring and biosurveillance, and (5) medical product development. Even with its promising potential, AI brings forth inherent risks and limitations that require careful consideration and discussion. The article also advocates for a forward-thinking approach for the U.S. Military to effectively leverage AI in advancing military health and overall operational readiness.
人工智能(AI)在国家安全和医疗保健领域的关键作用引起了广泛关注。然而,尽管其潜力巨大,但其在军事医学中的应用仍相对未被探索。AI 通过不断改进算法和处理大量数据集的能力来运行,从而不断提高准确性并模拟人类学习过程。生成式 AI 是一种机器学习,使用算法生成新的内容,如图像、文本、视频、音频和计算机代码。这些模型利用深度学习对训练数据进行简化表示的编码,并生成新的作品,这些作品与原始作品相似但并不完全相同。尽管军事医学中有许多人工智能应用是理论性的,但美国军方已经实施了几个倡议,而这些倡议往往不为其人员所广泛了解。本文旨在介绍联合人工智能中心(现称为首席数字和人工智能办公室)领导的两项弹性倡议。这些倡议旨在增强指挥官预测部队行为的仪表板,并开发预测部队自杀倾向的模型。此外,本文还概述了军事医学中的 5 个关键 AI 应用,包括(1)临床效率和常规决策支持,(2)大规模作战行动的分诊和临床护理算法,(3)医疗共同作战图中的患者和资源移动,(4)健康监测和生物监测,以及(5)医疗产品开发。即使具有广阔的前景,AI 也带来了固有的风险和局限性,需要认真考虑和讨论。本文还主张美国军方采取前瞻性的方法,有效利用 AI 来促进军事健康和整体作战准备。