Deep learning to predict future cognitive decline: a multimodal approach using brain MRI and clinical data

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer’s disease, Parkinson’s disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize cl...

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Autors principals:	Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H. Ankarath, Christopher Patterson, Emma J. Gleave, Sophia I. Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M. Thompson
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2026-02-01
Col·lecció:	Frontiers in Neuroimaging
Matèries:	Alzheimer’s disease prognostics artificial intelligence in hospitals AutoGluon clinical decision support systems clinical decline clinical dementia rating
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fnimg.2026.1726037/full
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