Title: Investigating dementia: an analysis on machine learning strategies

Authors: Tanvi Kapdi; Apurva Shah

Addresses: Department of Computer Science and Engineering, The Maharaja Sayajirao University of Baroda, Gujarat, India ' Department of Computer Science and Engineering, The Maharaja Sayajirao University of Baroda, Gujarat, India

Abstract: Dementia, an ongoing and moderate mental declination of cerebrum capability brought about by disability, is turning out to be more pervasive because of the maturing populace. A significant challenge in dementia is accomplishing exact reasonable determination. Lately, neuroimaging with PC helped calculations and has made surprising advances in tending to this test. The outcome of these techniques is generally ascribed to the application of AI strategies for neuro-imaging. In this review paper, we present a meticulous overview of robotised indicative methodologies for dementia utilising clinical picture examination. Given the thorough survey of the current efforts, it has been observed that, while a large portion of the examinations zeroed in on common mental illness, late exploration has shown sensible execution in the ID of disparate strains of dementia stays a significant challenge. Multimodal imaging assessment profound research draws near has shown optimistic sequel in the conclusion of the strains of dementia.

Keywords: artificial intelligence; machine learning; deep learning; mental health; dementia.

DOI: 10.1504/IJCVR.2025.149826

International Journal of Computational Vision and Robotics, 2025 Vol.15 No.6, pp.706 - 718

Received: 02 Mar 2023
Accepted: 15 Nov 2023
Published online: 14 Nov 2025 *

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