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Related Concept Videos

Dementia01:30

Dementia

115
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....
115

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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Deep learning applications in vascular dementia using neuroimaging.

Chao Dong1, Shizuka Hayashi

  • 1Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, UNSW Sydney, NSW, Australia.

Current Opinion in Psychiatry
|January 16, 2024
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Summary
This summary is machine-generated.

Deep learning, particularly convolutional neural networks (CNNs), shows great promise for diagnosing vascular dementia (VaD) using neuroimaging. These advanced AI models can detect and classify VaD-related brain changes, aiding in early diagnosis and treatment.

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Area of Science:

  • Neuroimaging
  • Artificial Intelligence
  • Dementia Research

Background:

  • Vascular dementia (VaD) is a leading cause of cognitive decline, second only to Alzheimer's disease.
  • Deep learning (DL) is increasingly vital in analyzing complex medical data, including neuroimaging.

Conclusions:

  • Deep learning, utilizing neuroimaging, offers significant potential for advancing early diagnosis and treatment of VaD.
  • Continued collaboration among experts is crucial to overcome challenges and maximize DL's impact on VaD management.