Developing an Artificial Intelligence System to Detect Cognitive Impairment

NCT ID: NCT05794451

Last Updated: 2024-07-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

4000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-03-20

Study Completion Date

2025-12-31

Brief Summary

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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

Detailed Description

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Conditions

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Alzheimer Disease Healthy Aging Mild Cognitive Impairment

Study Design

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Observational Model Type

COHORT

Study Time Perspective

CROSS_SECTIONAL

Study Groups

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Healthy controls

Adults aged 60 and above without cognitive impairment

No interventions assigned to this group

Mild cognitive impairment

Adults 60 and above with mild cognitive impairment

No interventions assigned to this group

Alzheimer's disease

Adults diagnosed with Alzheimer's disease

No interventions assigned to this group

Eligibility Criteria

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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

* 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).
Minimum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Technion, Israel Institute of Technology

OTHER

Sponsor Role collaborator

University of Haifa

OTHER

Sponsor Role lead

Responsible Party

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Johanna Czamanski-Cohen

Senior Lecturer

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Johanna Czamanski-Cohen, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Haifa

Locations

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University of Haifa

Haifa, , Israel

Site Status RECRUITING

Countries

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Israel

Central Contacts

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Amit Perry, MA

Role: CONTACT

+9722454258

Facility Contacts

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Amit Perry, MA

Role: primary

Other Identifiers

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ALZAI

Identifier Type: -

Identifier Source: org_study_id

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