将人工智能纳入军事行为健康:叙述审查
Ann D McConnon1, Airyn J Nash1, John Ray Roberts1
1Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, United States.
Military medicine
|May 6, 2025
概括
人工智能和机器学习显示出改善军事行为健康的希望,特别是在查和评估方面. 需要进一步的研究来验证这些AI/ML应用程序的服务成员.
科学领域:
- 军事卫生研究军事卫生研究
- 行为健康信息学
- 医疗保健中的人工智能
背景情况:
- 越来越多的自杀率和服务人员的心理健康状况下降,需要创新的行为健康解决方案.
- 人工智能和机器学习 (AI/ML) 在六个关键的行为健康领域提供了潜在的进步.
研究的目的:
- 审查美国军方行为健康中的AI/ML研究的现状.
- 确定AI/ML在军事精神卫生保健中的有希望的应用和挑战.
主要方法:
- 进行了美国军事研究的叙事审查,涉及AI/ML在行为健康方面.
- 搜索了Embase,PubMed,PsycInfo和DTIC在2019年至2024年之间发表的研究.
- 在最终审查中包括了9项研究.
主要成果:
- 在军事行为健康方面对AI/ML的研究比在平民中进行的研究要少.
- 在军事心理健康的查,评估,诊断和预后方面,AI/ML显示出前景.
- 最初的结果表明,有可能预测负面的心理健康结果.
结论:
- 人工智能/ML具有显著的潜力,可以增强军事行为健康服务,包括培训,治疗和管理.
- 整合AI/ML存在挑战,需要考虑服务成员,提供商和系统的观点.
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