阿尔茨海默病的临床前认知标志物和使用虚拟现实和人工智能的早期诊断:文学评论
María de la Paz Scribano Parada1,2,3, Fátima González Palau1,4,5, Sonia Valladares Rodríguez6,7
1Centro de Neurorrehabilitación González Palau, Córdoba, Argentina.
JMIR medical informatics
|January 30, 2025
概括
虚拟现实 (VR) 和人工智能 (AI) 显示出早期阿尔茨海默病 (AD) 认知标志物检测的前景. 这些技术可以在症状出现之前进行诊断,从而改善患者的治疗结果.
科学领域:
- 神经科学是一个神经科学.
- 医疗技术 医疗技术 医学技术
- 认知科学 认知科学
背景情况:
- 阿尔茨海默病 (AD) 诊断在临床前阶段的早期发现有好处.
- 确定可靠的临床前生物标志物至关重要,因为目前的方法面临挑战.
- 对于AD检测,正在探索超越情节性记忆的认知行为指标.
研究的目的:
- 探索虚拟现实 (VR) 和人工智能 (AI) 在识别阿尔茨海默病 (AD) 临床前认知标志物的潜力.
- 综合最近的研究,以推进早期诊断方法,在显著症状出现之前检测AD.
主要方法:
- 按照PRISMA指南进行系统审查.
- 在Scopus,PubMed和谷歌学者中搜索了使用对话数据对神经精神疾病的研究.
- 分析了38篇精选的文章.
主要成果:
- 语言情节性记忆被确定为敏感的临床前AD标记物,由神经成像和遗传数据支持.
- 执行功能先于记忆力下降;处理速度是一个显著的关联.
- 人工智能算法为早期神经认知障碍诊断提供了一种多维方法;VR潜力尚未得到充分探索.
结论:
- 虚拟现实和人工智能对临床前阿尔茨海默氏症诊断具有前景.
- 临床安全和疗效需要进行彻底的验证和监管批准.
- 预计技术进步将改善早期AD检测和管理.
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