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Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis

2024-12-17

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Introduction</h4> Machine learning (ML) algorithms using neuroimaging markers of cerebral small vessel disease (CSVD) are a promising approach for classifying cognitive impairment and dementia. <h4>Methods</h4> We systematically reviewed and meta-analysed studies that leveraged CSVD features for ML-based diagnosis and/or prognosis of cognitive impairment and dementia. <h4>Results</h4> We iden...

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Literature Corpus work
bcac31f9-2b45-5f11-95fc-d9570bc58c80
DOI
10.1101/2024.12.17.24319166
Open publication

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Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysisDOI 10.1101/2024.12.17.24319166
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