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Dementia

Dementia

Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....

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Updated: Jan 18, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

[Digital Technologies for Enhancing Dementia Screening].

¹Department of Clinical Gene Therapy, Graduate School of Medicine, Osaka University.

Brain and Nerve = Shinkei Kenkyu No Shinpo

|September 11, 2025

Summary

This summary is machine-generated.

Early dementia detection is crucial but hindered by a lack of efficient screening tools. This review explores how digital biomarkers and artificial intelligence offer promising, accessible dementia screening solutions, overcoming traditional test limitations.

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Area of Science:

Neurology
Gerontology
Biomedical Engineering

Background:

Dementia poses a significant global health challenge.
Timely intervention can slow dementia progression, yet diagnosis rates remain low.
Current screening relies on traditional neuropsychological tests with limitations like high burden and variability.

Purpose of the Study:

To review recent advancements in digital biomarkers for dementia screening.
To discuss the potential of AI-transformed cognitive tests.
To identify limitations of digital tools in clinical dementia diagnosis.

Main Methods:

Literature review of digital biomarkers for dementia.
Analysis of AI applications in cognitive assessment.
Examination of clinical utility and limitations of digital screening tools.

Main Results:

Digital technologies, particularly AI, are transforming cognitive tests into efficient dementia screening tools.
Digital biomarkers show promise in overcoming limitations of traditional methods.
Research is rapidly evolving in this field.

Conclusions:

Digital biomarkers and AI offer a pathway to improved dementia detection rates.
Further research and validation are needed to address limitations for widespread clinical adoption.
Accessible and efficient dementia screening is becoming more attainable.