Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation

Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation

Abstract Clinical diagnosis of Alzheimer’s disease (AD) is usually made after symptoms such as short-term memory loss are exhibited, which minimizes the intervention and treatment options. The existing screening techniques cannot distinguish between stable MCI (sMCI) cases (i.e., patients who do not...

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Bibliographic Details
Main Authors: Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: SpringerOpen 2025-03-01
Series:Brain Informatics
Subjects:
Alzheimer's disease
Machine learning
Deep learning
Structural MRI
Functional MRI
PET
Online Access:https://doi.org/10.1186/s40708-025-00252-3
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https://doi.org/10.1186/s40708-025-00252-3

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