人工智能如何塑造神经心理学:关注神经退行性疾病的认知评估
Michele Scandola1, Maria Esposito1, Riccardo Guidotti2
1Department of Human Sciences, University of Verona, Verona, Italy.
Journal of neuropsychology
|August 9, 2025
概括
人工智能 (AI) 和机器学习 (ML) 正在改变神经心理学,提高神经退行性疾病 (如阿尔茨海默氏症) 的认知评估. 这些技术提供了新的见解,但在差异诊断方面面临挑战,需要进一步开发临床实用性.
科学领域:
- 神经心理学 神经心理学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 神经退行性疾病带来了重大的诊断挑战.
- 认知评估对于早期发现和管理至关重要.
- 人工智能和机器学习为提高诊断准确性提供了新的方法.
研究的目的:
- 审查AI和ML对神经退行性疾病分类的影响.
- 在神经心理评估中评估各种ML算法的性能.
- 讨论挑战,并提出临床神经心理学中ML的未来方向.
主要方法:
- 关于神经心理学的AI/ML现有文献的叙事综述.
- 用于患者分类的ML算法 (SVM,随机森林,CNN) 的分析.
- 对生物标志物和神经心理测试数据的检查.
主要成果:
- 人工智能和机器学习表明了对神经退行性疾病患者的分类潜力.
- 各种ML算法显示出有希望的结果,其准确性需要进一步评估.
- 挑战包括过度装配和对差异诊断能力的需求.
结论:
- 人工智能和机器学习正在彻底改变神经心理学中的认知评估.
- 需要进一步的研究来克服目前的局限性并提高临床效用.
- 机器学习的进步可以在诊断神经退行性疾病方面取得显著的理论和实际进展.
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