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Related Concept Videos

Dementia01:30

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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.
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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...
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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.
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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Related Experiment Video

Updated: Sep 2, 2025

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage
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Artificial intelligence in dementia.

Alexander Richardson1, Cason B Robbins, Clayton E Wisely

  • 1Duke University School of Medicine, Durham, North Carolina, USA.

Current Opinion in Ophthalmology
|August 2, 2022
PubMed
Summary
This summary is machine-generated.

Machine learning models using eye images show promise for diagnosing Alzheimer's dementia. These accessible ocular biomarkers offer a cost-effective alternative to brain scans for dementia identification and risk stratification.

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Area of Science:

  • Ophthalmology
  • Neurology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly used in clinical settings.
  • AI may soon play a role in dementia diagnostics.
  • Understanding emerging AI trends is crucial for healthcare providers.

Purpose of the Study:

  • To review emerging AI trends in dementia diagnostics.
  • To prepare physicians for AI integration in clinical practice.

Main Methods:

  • Review of machine learning models for dementia identification.
  • Focus on cerebral vs. ocular biomarkers.
  • Analysis of emerging AI architectures for ocular data.

Main Results:

  • Cerebral biomarker models are effective but costly.
  • Ocular biomarkers in eye images offer comparable efficacy.
  • Advanced neural networks show promise for ocular biomarker analysis.

Conclusions:

  • Ocular imaging with machine learning can diagnose Alzheimer's dementia and predict disease progression.
  • These AI tools offer a simpler, potentially cheaper diagnostic approach.
  • Advancements in ocular AI are promising for dementia care.