AI and Cognitive Health

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Reseachers: Maryam Ahmadzadeh, Steve DiPaola, Sylvain Moreno

The Research

We used Deep Learning techniques on several systematic reviews with the most recent neuroimaging procedures and machine learning approaches for the prediction of conversion from mild cognitive impairment to Alzheimer’s disease dementia. We systematically searched PubMed, SCOPUS, and Web of Science databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review guidelines.

The multimodality framework and deep learning techniques showed potential for predicting the conversion of MCI to AD dementia. Findings of these systematic reviews identifed that the possibility of using neuroimaging data processed by advanced learning algorithms is promising for the prediction of AD progression.




—— PAPERS: AI and Cognitive Health ——

Predictors of the rate of cognitive decline in older adults using machine learning

by Ahmadzadeh M; Cosco T; Best J; Chistie G; DiPaola S – Journal – 32 pages
Plos One (2023)

Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to Alzheimer's disease; A systematic review

by Ahmadzadeh M; …; DiPaola S; Moreno S – Journal – 19 Pages
BMC Neurology (2023)