• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

未来的军人监测:生物学、可穿戴设备和人工智能的交集。

Future of service member monitoring: the intersection of biology, wearables and artificial intelligence.

机构信息

Design Interactive Inc, Orlando, Florida, USA

Design Interactive Inc, Orlando, Florida, USA.

出版信息

BMJ Mil Health. 2024 Sep 20;170(5):412-414. doi: 10.1136/military-2022-002306.

DOI:10.1136/military-2022-002306
PMID:36702525
Abstract

While substantial investment has been made in the early identification of mental and behavioural health disorders in service members, rates of depression, substance abuse and suicidality continue to climb. Objective and persistent measures are needed for early identification and treatment of these rising health issues. Considerable potential lies at the intersection of biology, wearables and artificial intelligence to provide high accuracy, objective monitoring of mental and behavioural health in training, operations and healthcare settings. While the current generation of wearable devices has predominantly targeted non-military use cases, military agencies have demonstrated successes in monitoring and diagnosis via off-label uses. Combined with context-aware and individualised algorithms, the integration of wearable data with artificial intelligence allows for a deeper understanding of individual-level and group-level mental and behavioural health at scale. Emerging digital phenotyping approaches which leverage ubiquitous sensing technology can provide monitoring at a greater scale, lower price point and lower individual burden by removing the need for additional body-worn technology. The intersection of this technology will enable individualised strategies to promote service member mental and physical health, reduce injury, and improve long-term well-being and deployability.

摘要

尽管在服务人员的心理健康和行为障碍的早期识别方面投入了大量资金,但抑郁、药物滥用和自杀率仍在攀升。需要客观和持续的措施来早期识别和治疗这些不断上升的健康问题。在生物、可穿戴设备和人工智能的交叉点上存在着巨大的潜力,可以为训练、行动和医疗保健环境中的心理和行为健康提供高精度、客观的监测。虽然当前一代的可穿戴设备主要针对非军事应用案例,但军事机构已经通过非标签用途展示了在监测和诊断方面的成功。结合上下文感知和个性化算法,将可穿戴设备数据与人工智能相结合,可以更深入地了解个体和群体层面的心理和行为健康。新兴的数字表型方法利用无处不在的传感技术,可以通过消除对额外穿戴技术的需求,以更低的价格点和更低的个体负担提供更大规模的监测。这项技术的交叉点将使个性化策略能够促进服务人员的身心健康,减少伤害,并提高长期幸福感和部署能力。

相似文献

1
Future of service member monitoring: the intersection of biology, wearables and artificial intelligence.未来的军人监测:生物学、可穿戴设备和人工智能的交集。
BMJ Mil Health. 2024 Sep 20;170(5):412-414. doi: 10.1136/military-2022-002306.
2
Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review.在基于设备的身体活动评估与心理健康之间的关联背景下应用人工智能:系统评价
JMIR Mhealth Uhealth. 2025 Mar 6;13:e59660. doi: 10.2196/59660.
3
Wearing the Future-Wearables to Empower Users to Take Greater Responsibility for Their Health and Care: Scoping Review.穿戴式未来科技赋予用户更大的健康和护理自主权:范围综述。
JMIR Mhealth Uhealth. 2022 Jul 13;10(7):e35684. doi: 10.2196/35684.
4
Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review.探索可解释性在可穿戴数据分析中的应用:系统文献综述
J Med Internet Res. 2024 Dec 24;26:e53863. doi: 10.2196/53863.
5
Wearable Sensors, Data Processing, and Artificial Intelligence in Pregnancy Monitoring: A Review.可穿戴传感器、数据处理和人工智能在妊娠监测中的应用:综述。
Sensors (Basel). 2024 Oct 4;24(19):6426. doi: 10.3390/s24196426.
6
Advancing Sports Cardiology: Integrating Artificial Intelligence with Wearable Devices for Cardiovascular Health Management.推进运动心脏病学:将人工智能与可穿戴设备整合用于心血管健康管理。
ACS Appl Mater Interfaces. 2025 Mar 26;17(12):17895-17920. doi: 10.1021/acsami.4c22895. Epub 2025 Mar 12.
7
Wearables and the medical revolution.可穿戴设备与医学革命。
Per Med. 2018 Sep;15(5):429-448. doi: 10.2217/pme-2018-0044. Epub 2018 Sep 27.
8
Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare.人工智能、区块链和可穿戴技术在慢性病管理中的整合:智能医疗保健的新模式。
Curr Med Sci. 2021 Dec;41(6):1123-1133. doi: 10.1007/s11596-021-2485-0. Epub 2021 Dec 24.
9
Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals.癫痫中的可穿戴技术:患者、护理人员及医疗保健专业人员的观点
Epilepsy Behav. 2018 Aug;85:141-149. doi: 10.1016/j.yebeh.2018.05.044. Epub 2018 Jun 23.
10
Wearable Artificial Intelligence for Sleep Disorders: Scoping Review.用于睡眠障碍的可穿戴人工智能:范围综述
J Med Internet Res. 2025 May 6;27:e65272. doi: 10.2196/65272.

引用本文的文献

1
Real-time monitoring of military health and readiness: a perspective on future research.军事健康与战备状态的实时监测:对未来研究的展望
Front Digit Health. 2025 May 7;7:1542140. doi: 10.3389/fdgth.2025.1542140. eCollection 2025.
2
The ethical dimension of personal health monitoring in the armed forces: a scoping review.武装部队个人健康监测的伦理维度:范围综述。
BMC Med Ethics. 2024 Aug 10;25(1):88. doi: 10.1186/s12910-024-01086-0.