Machine learning of brain structural biomarkers for Alzheimer's disease (AD) diagnosis, prediction of disease progression, and amyloid beta deposition in the Japanese population

Machine learning of brain structural biomarkers for Alzheimer's disease (AD) diagnosis, prediction of disease progression, and amyloid beta deposition in the Japanese population

Abstract Introduction We developed machine learning (ML) designed to analyze structural brain magnetic resonance imaging (MRI), and trained it on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. In this study, we verified its utility in the Japanese population. Methods A total o...

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Bibliographic Details
Main Authors: Akihiko Shiino, Yoshitomo Shirakashi, Manabu Ishida, Kenji Tanigaki, Japanese Alzheimer's Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
ADNI
Alzheimer's disease
artificial intelligence
machine learning
MRI
Online Access:https://doi.org/10.1002/dad2.12246

Internet

https://doi.org/10.1002/dad2.12246

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