通过面部表情在痴呆症中基于人工智能的情绪识别:一个范围审查
Noelia Gerbaudo-González1, Nelly Condorí-Fernández2, Alejandro Catalá2
1Department of Developmental Psychology, Faculty of Psychology, Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
Ageing research reviews
|November 29, 2025
概括
人工智能 (AI) 在痴呆症护理中表现出对情绪识别的承诺,提供客观的评估. 需要进一步的标准化和道德考虑,才能充分实现人工智能.
科学领域:
- 老年学是一门学科.
- 人工智能的人工智能
- 精神病学是一个精神病学.
背景情况:
- 情绪评估对于痴呆患者的福祉和护理规划至关重要.
- 对于痴呆症情绪评估的传统方法是主观的,耗时的.
- 基于人工智能的面部表情分析提供了一个潜在的客观和高效的替代方案.
研究的目的:
- 对使用基于人工智能的面部表情分析用于痴呆症患者情绪识别进行范围审查.
- 确定人工智能在痴呆症情绪评估中的当前应用,方法和挑战.
主要方法:
- 使用SPIDER策略进行了范围审查.
- 在五个主要数据库 (PubMed,Scopus,PsycInfo,ProQuest,IEEE Xplore) 进行了搜索.
- 从11项选定的研究中提取和分析数据,重点关注AI工具和临床结果.
主要成果:
- 包括11项研究,主要利用深度神经网络进行情绪识别.
- 人工智能应用涵盖了早期检测,诊断和干预评估.
- 大多数研究都使用了先前存在的数据集,强调了对原始数据收集的需求.
结论:
- 人工智能工具显示出增强情绪识别和改善痴呆症护理的巨大潜力.
- 数据收集和处理的标准化协议对于AI在这个领域的发展至关重要.
- 解决数据集的局限性,优先考虑道德考虑,促进跨学科合作对于未来的发展至关重要.
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