Evaluation of vascular cognitive impairment and identification of imaging markers using machine learning: a multimodal MRI study

Evaluation of vascular cognitive impairment and identification of imaging markers using machine learning: a multimodal MRI study

BackgroundVascular cognitive impairment (VCI) is prevalent but underdiagnosed due to its heterogeneous nature and the lack of reliable diagnostic tools. Machine learning (ML) enhances disease evaluation by enabling accurate prediction and early detection from complex data. This study aimed to develo...

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Bibliographic Details
Main Authors: Haoying He, Dongwei Lu, Sisi Peng, Jiu Jiang, Fan Fan, Dong Sun, Tianqi Sun, Zhipeng Xu, Ping Zhang, Xiaoxiang Peng, Ming Lei, Junjian Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Neurology
Subjects:
vascular cognitive impairment
machine learning
magnetic resonance imaging
diffusion tensor imaging
imaging marker
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1505739/full
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https://www.frontiersin.org/articles/10.3389/fneur.2025.1505739/full

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