由人工智能指导的传感器和设备用于个性化疼痛医学
Yantao Xing1, Kaiyuan Yang1, Albert Lu1,2
1Department of Intelligent Systems Engineering, Indiana University Bloomington, Bloomington, IN 47405, USA.
Cyborg and bionic systems (Washington, D.C.)
|September 16, 2024
概括
在个性化疼痛医学领域的工程创新,包括人工智能和可穿戴传感器,提供了监测,评估和缓解疼痛的新方法. 这些技术有望改善治疗结果和改善患者的生活质量.
科学领域:
- 生物医学工程 生物医学工程
- 疼痛医学 医学 疼痛医学
- 医疗保健中的人工智能
背景情况:
- 个性化疼痛医学试图通过考虑个体患者的需求来优化治疗,但在理解和管理复杂的疼痛条件方面仍然存在挑战.
- 目前的疼痛标志物和治疗方法不足以解决个人疼痛经历的全部范围.
- 工程解决方案对于提高疼痛管理策略的精度和有效性至关重要.
研究的目的:
- 审查用于个性化疼痛治疗的传感器和设备的最新工程进展.
- 探索人工智能 (AI) 在开发新型疼痛管理解决方案中的整合.
- 突出创新技术的潜力,以改善患者的治疗结果和医疗保健效率.
主要方法:
- 关于疼痛医学工程努力的当前文献的审查.
- 疼痛病理学基础知识的总结.
- 引入各种传感器和设备来监测,评估和缓解疼痛.
- 讨论人工智能驱动的进步,包括基于人工智能的止痛药,可穿戴传感器和医疗保健系统.
主要成果:
- 为个性化疼痛管理量身定制的多种传感器和设备的开发.
- 整合人工智能 (AI) 以加强疼痛监测,评估和治疗.
- 可穿戴传感器和人工智能医疗系统的出现,用于实时疼痛管理.
- 人工智能有可能个性化止痛,提高治疗响应度.
结论:
- 创新的工程技术,特别是人工智能和先进的传感器,即将彻底改变个性化疼痛医学.
- 这些进步为更精确,更敏捷的疼痛管理提供了潜力,从而改善了患者的生活质量.
- 这些技术的整合可以提高医疗保健系统的效率,并减少成和物质使用障碍的发生率.
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