痴呆
神经心理学
电生理学
神经科学
人工智能
心理学
机器学习
计算机科学
认知科学
医学
认知
病理
疾病
作者
Claudia Carrarini,Cristina Nardulli,Laura Titti,Francesco Iodice,Francesca Miraglia,Fabrizio Vecchio,Paolo Maria Rossini
标识
DOI:10.1016/j.arr.2024.102417
摘要
Emerging and advanced technologies in the field of Artificial Intelligence (AI) represent promising methods to predict and diagnose neurodegenerative diseases, such as dementia. By using multimodal approaches, Machine Learning (ML) seems to provide a better understanding of the pathological mechanisms underlying the onset of dementia. The purpose of this review was to discuss the current ML application in the field of neuropsychology and electrophysiology, exploring its results in both prediction and diagnosis for different forms of dementia, such as Alzheimer's disease (AD), Vascular Dementia (VaD), Dementia with Lewy bodies (DLB), and Frontotemporal Dementia (FTD).
科研通智能强力驱动
Strongly Powered by AbleSci AI