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Related Concept Videos

Dementia01:30

Dementia

120
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....
120
Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
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Alzheimer's Disease: Treatment01:22

Alzheimer's Disease: Treatment

200
Alzheimer's Disease (AD), a neurodegenerative disorder, is pathologically identified by amyloid plaques and neurofibrillary tangles composed of tau protein. AD pharmacotherapy aims to manage cognitive symptoms, delay disease progression, and treat behavioral symptoms. The treatment is primarily symptomatic and palliative, with no definitive disease-modifying therapy available. Cholinesterase inhibitors, including donepezil (Aricept), rivastigmine (Exelon), and galantamine (Razadyne), are...
200

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Related Experiment Video

Updated: Jul 12, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Speech and language processing with deep learning for dementia diagnosis: A systematic review.

Mengke Shi1, Gary Cheung2, Seyed Reza Shahamiri1

  • 1Department of Electrical, Computer and Software Engineering, Faculty of Engineering, University of Auckland, Private Bag 92019, Building 405, Level 6, Room 669, 3 Garfton Road, Auckland 1142, New Zealand.

Psychiatry Research
|October 21, 2023
PubMed
Summary

Deep Learning (DL) technologies show promise in diagnosing dementia using speech and language data. These AI tools effectively distinguish between healthy individuals and those with dementia, aiding early detection.

Keywords:
Cognitive impairmentDeep learningDementiaPRISMA systematic literature reviewSpeech and language processing

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Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Computational Linguistics

Background:

  • Dementia diagnosis is complex, resource-intensive, and faces accessibility issues, particularly in low and middle-income countries.
  • Early dementia diagnosis enables interventions to slow progression and reduce patient and societal burdens.
  • Speech and language data offer accessible resources for developing novel diagnostic tools.

Approach:

  • Systematic review of 72 studies published between 2012-2022.
  • Utilized PRISMA 2020 protocol for study identification and data extraction.
  • Analyzed Deep Learning (DL) technologies applied to speech and language for dementia diagnosis.

Key Points:

  • Deep Learning models effectively differentiate between healthy individuals and those with dementia based on speech and language patterns.
  • Identified various DL technologies and their applications in dementia detection.
  • Highlighted the potential of AI-driven speech analysis in supporting dementia diagnosis.

Conclusions:

  • Deep Learning-based speech and language techniques show significant potential to aid in the dementia diagnostic process.
  • Advancements in AI offer new possibilities for accessible and timely dementia detection.
  • Further research is needed to address existing challenges and optimize DL applications for dementia diagnosis.