Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to alzheimer's disease: a systematic review.

ABSTRACT:

Background

This systematic review synthesizes the most recent neuroimaging procedures and machine learning approaches for the prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia.

Methods

We systematically searched PubMed, SCOPUS, and Web of Science databases following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) systematic review guidelines.

Results

Our search returned 2572 articles, 56 of which met the criteria for inclusion in the final selection. The multimodality framework and deep learning techniques showed potential for predicting the conversion of MCI to AD dementia.

Conclusion

Findings of this systematic review identified that the possibility of using neuroimaging data processed by advan

SUBMITTER: Ahmadzadeh M 

PROVIDER: S-EPMC10463866 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature