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CompletedNCT05794451Updated May 4, 2026

Developing an Artificial Intelligence System to Detect Cognitive Impairment

An observational study in Alzheimer Disease, Healthy Aging and Mild Cognitive Impairment, sponsored by University of Haifa. Completed at 1 site in Israel. Open to participants aged 60 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-05-04.

Sponsored by University of Haifa · Observational

Study type
Observational
Model
Cohort
Time perspective
Cross-sectional
Enrollment
3,413
Ages
60 Years and older
Sex
All
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Study summary

Alzheimer's disease dementia (AD) is a debilitating and prevalent neurodegenerative disease in older adults globally. Cognitive impairment, a hallmark of AD, is assessed through verbal tests that require high specialization, and while accepted as screening tools for AD, general practitioners seldom use them. AD can be diagnosed with expensive, invasive neuroimaging and blood tests, but these are usually conducted when cognitive functioning is already severely impaired. Thus, finding a novel, non-invasive tool to detect and differentiate mild cognitive impairment (MCI) and AD is a prime public health interest. Self-figure drawings (a projective tool in which individuals are asked to draw a picture of themselves), are easy to administer and have been shown to differentiate between healthy and cognitively impaired individuals, including AD. Convolutional Neural Network (CNN) (a type of deep neural network, applied to analyze visual imagery) has advanced to assess health conditions using art products. Therefore, the proposed study suggests utilizing CNN-based methods to develop and test an application tailored to differentiate between drawings of individuals with MCI, AD, and healthy controls (HC) using 4,000 self-figure drawings. This

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Conditions studied

  • Alzheimer Disease
  • Healthy Aging
  • Mild Cognitive Impairment
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In context

Alzheimer Disease

3,678 studies on the registry are indexed under Alzheimer Disease; 872 are open to participants now.

This study's enrollment of 3,413 is above the median of 200 across 751 observational studies indexed under Alzheimer Disease.

Browse Alzheimer Disease studies →

Lead sponsor

University of Haifa is the lead sponsor of 101 studies on the registry; 25 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
60 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Adults aged 60 or above, who live in Israel.

Inclusion criteria

  • Adults aged 60 and above with subtle signs of risk of future cognitive decline, residing in the community or in nursing homes with a minimum of 10 years of education.

Exclusion criteria

Exclusion Criteria:

  • Current or past psychiatric illness, the presence of congenital/organic cognitive condition, severe visual or motor impairment, and terminal illness (to avoid the effect of comorbidities).
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Study design

Observational model
Cohort
Time perspective
Cross-sectional
Enrollment
3,413 participants (actual)
Patient registry
No

Groups and cohorts

  • Healthy controls

    Adults aged 60 and above without cognitive impairment

  • Mild cognitive impairment

    Adults 60 and above with mild cognitive impairment

  • Alzheimer's disease

    Adults diagnosed with Alzheimer's disease

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What researchers measure

Primary outcomes

  1. Cognition

    The Montreal Cognitive Assessment (MoCA) is a 10-minute paper-based test that aims to detect MCI in older patients with symptomatology, suggesting impaired cognition. The MoCA is composed of 12 tasks to detect short-term memory, visuospatial ability, executive functioning, phonemic fluency, abstraction, attention, concentration, working memory, language, and orientation.

    Time frame: One day

  2. Cognition for adults diagnosed with Alzheimer's disease

    The Self-reported Cognitive Difficulties (CDS)75 is a 39-item questionnaire that requires participants or their caregivers in case of AD to rate how often they currently experience cognitive difficulties in everyday life using a 5-point scale (0 -"never" to 4 -"very often").

    Time frame: One day

  3. Self-figure drawing -Cognition

    Self-figure drawing. Participants will be asked to draw themselves using a pencil on an A4-sized sheet of paper.

    Time frame: One day

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Study locations

1 site
  • University of Haifa
    Haifa, Israel
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References and documents

Individual participant data

Plan to share: No — This is an artificial intelligence study, thus there will not be a dataset available for sharing.

No publications or documents are linked to this record.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 4, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05794451
Lead sponsor
University of Haifa
Collaborators
Technion, Israel Institute of Technology
Responsible party
Johanna Czamanski-Cohen (Senior Lecturer, University of Haifa) — Principal investigator
First posted
Apr 3, 2023
Start date
Mar 20, 2023
Primary completion
Dec 31, 2025
Completion
Mar 31, 2026
Last update
May 4, 2026

Study contacts

Johanna Czamanski-Cohen, PhD
principal investigator · University of Haifa

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Apr 2026. You cannot join it, but the record below documents what was studied.

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