ArticleFrontiers in public health2021
Cognitive Impairment of Patient With Neurological Cerebrovascular Disease Using the Artificial Intelligence Technology Guided by MRI.
Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Questionnaire Survey on the Current Use of Brain Docks and Their Compliance with Guidelines in Japan.Neurologia medico-chirurgica · 2025Article
- Editorial: The integration of the technology in clinical settings among neurological populations.Frontiers in psychology · 2023Article
- Multimodal magnetic resonance imaging on brain structure and function changes in vascular cognitive impairment without dementia.Frontiers in aging neuroscience · 2023Review
- Persisting cognitive impairment predicts functional dependence at 1 year after stroke and transient ischemic attack: a longitudinal, cohort study.BMC geriatrics · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
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Abstract
This study was to explore the application of MRI based on artificial intelligence technology combined with neuropsychological assessment to the cognitive impairment of patients with neurological cerebrovascular diseases. A total of 176 patients were divided into a control group, a vascular cognitive impairment non-dementia (VCIND) group, a vascular dementia (VD) group, and an Alzheimer's disease (AD) group. All patients underwent MRI and neuropsychological evaluation and examination, and an improved fuzzy C-means (FCM) clustering algorithm was proposed for MRI processing. It was found that the segmentation accuracy (SA) and similarity (KI) data of the improved FCM algorithm used in this study were higher than those of the standard FCM algorithm, bias-corrected FCM (BCFCM) algorithm, and rough FCM (RFCM) algorithm (
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