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痴呆症患者的疼痛线索:范围审查

Urška Smrke¹, Ana Milošič¹, Izidor Mlakar¹

¹Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, Maribor, 2000, Slovenia, +386 2 220 72 67.

JMIR mental health

|November 28, 2025

概括

数字监控提供了一种有希望的方法,可以客观地检测痴呆症患者的疼痛线索,这些人很难传达他们的疼痛. 这次审查确定了改善疼痛评估的关键行为和生理指标.

科学领域:

老年学是一门学科.
医疗信息学医疗信息学
疼痛管理疼痛管理

背景情况:

痴呆症患者,特别是晚期痴呆症患者,在口头表达疼痛方面面临着挑战.
这种沟通障碍导致这一群体对疼痛的低估和治疗不足.
客观的疼痛评估方法对于改善痴呆症患者的护理至关重要.

研究的目的:

为了确定适合于痴呆症患者数字疼痛监测的可观察到的疼痛线索.
确定提供关于疼痛经历的有效见解的数字线索 (RQ1).
确定这些疼痛线索最初是如何在现有研究中测量的 (RQ2).

主要方法:

使用了一个范围审查方法.
使用SCOPUS和Web of Science数据库系统搜索相关的研究论文.
专题分析用于对可观察到的疼痛线索进行提取数据的分类.

主要成果:

在 3705 个已识别的出版物中,有 34 个符合纳入标准.
确定了七类行为和生理疼痛线索,其中面部表情 (59%) 和身体运动 (44%) 是最常见的.
虽然大多数研究依赖于人类观察 (85%),但较小的一部分研究包含了面部识别或计算机视觉 (15%) 等技术.

结论:

本综述汇总了痴呆症患者相关疼痛指标的综合清单.
它为在痴呆症护理中利用人工智能和数字监测工具进行疼痛查奠定了基础.
客观的数字监测可以提高痴呆症患者疼痛的识别和管理.

关键词:

人工智能的人工智能是人工智能.痴呆症痴呆症是一种痴呆症.数字监控是指数字监控.疼痛疼痛疼痛疼痛疼痛检测检测疼痛检测审查审查审查审查审查审查查检查查检查查检查查检查症状症状症状症状症状

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