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Related Concept Videos

Dementia01:30

Dementia

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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.
The progression of dementia is generally gradual....
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Cognitive Development During Adulthood01:30

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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[Cognitive Screening for Dementia Using Simple Neuropsychological Tests: New Developments through Digital

Shigeki Yamaguchi1

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Summary

Early dementia screening is crucial with rising cases and new anti-amyloid therapies. Digital tools offer objective assessments, complementing traditional methods for better patient identification.

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Area of Science:

  • Gerontology and Neurology
  • Medical Technology and Diagnostics

Background:

  • The aging global population is driving an increase in dementia and mild cognitive impairment prevalence, particularly in Japan.
  • Emerging anti-amyloid beta antibody therapies necessitate efficient early identification of suitable treatment candidates.
  • Traditional cognitive screening tools face limitations including educational bias and subjectivity.

Purpose of the Study:

  • To compare conventional paper-based neuropsychological tests with novel digital screening tools.
  • To discuss the clinical implementation challenges and future directions for dementia screening technologies.

Main Methods:

  • Review of traditional neuropsychological tests (e.g., Mini-Mental State Examination, Hasegawa Dementia Scale-Revised).
  • Analysis of emerging digital screening tools utilizing AI and eye-tracking technology.
  • Comparative assessment of reliability, objectivity, and efficiency.

Main Results:

  • Digital tools provide rapid, reproducible, and objective cognitive assessments.
  • AI and eye-tracking offer potential advantages over traditional methods in overcoming educational and examiner dependency.
  • Both approaches have distinct roles in comprehensive dementia screening.

Conclusions:

  • Digital screening tools represent a significant advancement in dementia and mild cognitive impairment identification.
  • Addressing implementation challenges is key to integrating these technologies into clinical practice.
  • Future research should focus on validating digital tools and optimizing their use in conjunction with emerging therapies.