Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review

Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review

Abstract Neurodegenerative disorders, such as dementia, present some of the most pressing challenges in the field of medicine today. By causing progressive cognitive and functional decline, Alzheimer’s Disease (AD) and Frontotemporal Dementia (FTD) subtypes are an essential area for urgently needed...

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Bibliographic Details
Main Authors: Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, J. R. Pansare, Balaji Bodkhe, S. H. Gawande
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Artificial Intelligence
Subjects:
Dementia diagnosis
Alzheimer’s disease (AD)
Frontotemporal dementia (FTD)
Machine learning (ML)
Deep learning (DL)
Multimodal data Integration
Online Access:https://doi.org/10.1007/s44163-025-00358-x
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