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Related Experiment Video

Updated: Jun 18, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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Detecting functional impairment with the Digital Clock and Recall.

Marissa Ciesla1, Claudio Toro-Serey1, Ali Jannati1,2

  • 1Linus Health, Inc., Boston, MA, USA.

Journal of Alzheimer'S Disease : JAD
|November 13, 2024
PubMed
Summary
This summary is machine-generated.

The Digital Clock and Recall (DCR) tool effectively identifies functional dependence in older adults, aiding early dementia and mild cognitive impairment (MCI) detection. This machine learning-based assessment streamlines clinical decisions in primary care.

Keywords:
Alzheimer's diseasedementiadigital cognitive assessmentfunctional impairmentmild cognitive impairment

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Area of Science:

  • Gerontology
  • Neuroscience
  • Artificial Intelligence in Medicine

Background:

  • Differentiating mild cognitive impairment (MCI) from early dementia necessitates comprehensive neuropsychological and functional assessments.
  • Caregiver insights are crucial but obtaining them can be time-consuming for physicians.

Purpose of the Study:

  • To evaluate the Digital Clock and Recall (DCR) tool's effectiveness in detecting functional dependence.
  • To assess the utility of a machine learning (ML)-enabled digital cognitive assessment for identifying functional deficits.

Main Methods:

  • The DCR's ability to predict functional deficits, measured by the informant-rated Functional Activities Questionnaire (FAQ), was assessed.
  • Individuals included cognitively unimpaired, MCI, and dementia likely due to Alzheimer's disease.

Main Results:

  • The DCR demonstrated strong correlation with FAQ scores, indicating good scalability.
  • ML classifiers utilizing multimodal DCR features accurately predicted functional impairment in a test set.
  • Demographic group comparisons showed consistent FAQ score differences across DCR-predicted classes.

Conclusions:

  • The DCR tool can significantly streamline clinical decision-making for functional impairment in primary care.
  • It aids in efficient triage and intervention planning for patients with cognitive decline.