Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive impairment

Deep learning model for individualized trajectory prediction of clinical outcomes in mild cognitive impairment

ObjectivesAccurately predicting when patients with mild cognitive impairment (MCI) will progress to dementia is a formidable challenge. This work aims to develop a predictive deep learning model to accurately predict future cognitive decline and magnetic resonance imaging (MRI) marker changes over t...

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Bibliographic Details
Main Authors: Wonsik Jung, Si Eun Kim, Jun Pyo Kim, Hyemin Jang, Chae Jung Park, Hee Jin Kim, Duk L. Na, Sang Won Seo, Heung-Il Suk
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
deep learning
mild cognitive impairment
predictive model
cognitive decline
Alzheimer’s disease
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2024.1356745/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2024.1356745/full

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