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

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

Abstract Background Cerebral small vessel disease (CSVD) is a common neurological condition that contributes to strokes, dementia, disability, and mortality worldwide. We conducted a systematic review and meta-analysis to investigate the use of neuroimaging CSVD markers in machine learning (ML) base...

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Main Authors: Valerie Lohner, Amanpreet Badhwar, Flavie E. Detcheverry, Cindy L. García, Helena M. Gellersen, Zahra Khodakarami, René Lattmann, Rui Li, Audrey Low, Claudia Mazo, Amelie Metz, Olivier Parent, Veronica Phillips, Usman Saeed, Sean Y. W. Tan, Stefano Tamburin, David J. Llewellyn, Timothy Rittman, Sheena Waters, Jose Bernal
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Alzheimer’s Research & Therapy
Subjects:
Machine learning
Dementia
Cerebral small vessel disease
Artificial intelligence
Neuroimaging
Cognitive impairment
Online Access:https://doi.org/10.1186/s13195-025-01815-6
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https://doi.org/10.1186/s13195-025-01815-6

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