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This paper is in the following e-collection/theme issue:

Digital Health Reviews (3459) Clinical Information and Decision Making (3456) Decision Support for Health Professionals (2074) Dementia and Cognitive Decline (853) Diagnostic Tools in Mental Health (411) Machine Learning (2993) Artificial Intelligence (4458)

Published on in Vol 28 (2026)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85414, first published .
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Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities

Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities

Authors of this article:

Ziwen Yu1 Author Orcid Image ;   Anthony Mulholland1 Author Orcid Image ;   Tianyan Huang2 Author Orcid Image ;   Qiang Liu1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Rusek M, Pitucha M. From Genes to Imaging Phenotypes: Radiomics and Machine Learning as Tools to Decode Molecular Pathways in Alzheimer’s Disease. Genes 2026;17(6):672 View
  2. Emdad F, Rahman M, Nabil H, Rayed E, Ovi P, Emdad E, Rahman M, Talukdar M, Hossain M. A Generalized Responsible AI Framework for Trustworthy Clinical Prediction: Explainability, Fairness, Performance, and Uncertainty in Alzheimer’s Disease Modeling. Healthcare 2026;14(12):1721 View