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Confirmatory Clinical Trial for Verifying the Efficacy and Safety of 'ALZGUARD' as a Digital Dementia Diagnostic Aid-Tool for the Diagnosis of the Major Neurocognitive Disorders

A Single-blind (Data Analyst 1), Single-arm Design, Prospective, Multi-center Confirmatory Clinical Trial for Verifying the Efficacy and Safety of 'ALZGUARD' as a Digital Dementia Diagnostic Aid-Tool for the Diagnosis of the Major Neurocognitive Disorders According to DSM-5

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06615167
Enrollment
122
Registered
2024-09-26
Start date
2024-09-12
Completion date
2025-04-30
Last updated
2024-09-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dementia, Major Neurocognitive Disorder

Brief summary

The goal of this clinical trial is to evalute the efficacy of ALZGUARD, a smartphone-based digital therapeutic(DTx), in comparison to diagnosis by medical doctors, as weel as to assess the safety of the application.

Detailed description

The study will be conducted across multiple sites, enrolling participants aged 55 to 85 years olds. The primary objective of the study is to compare the diagnositic accuracy of ALZGAURD against traditional diagnostic evaluactions conducted by medical professionals. The primary endpoint for efficacy will be the Area Under the Curve(AUC), which will measure the diagnostic performance of the application. This statistical metric will help determine how well ALZGUARD can identify dementia compared to standard diagnostic methods.

Interventions

DEVICEALZGUARD

A digital therapeutic(DTx) application that uses artifical intelligence to analyze cognitive function and provide a diagnosis of dementia.

Sponsors

HAII corp.ltd
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Masking description

In this study, there will be two data analysts involved. Analyst 1 will be responsible for analyzing the results generated by the ALZGUARD application, which are based on the ALZGUARD AI model. This analyst will assess whether each subject has dementia and the likelihood or probability of the diagnosis. Analyst 1 will be blinded to any clinical assessments or dianoses made by the neurologists.

Intervention model description

This is a single-arm, interventional clinical trial designed to evlauate the efficacy and safety of ALZGAURD, a smartphone-based digital therapeutic, in detecting dementia. Study type: interentional (clinical trial) Masking: Single-blind (Outcomes assessor) Intervention description: The ALZGUARD application will be used by participants to assess cognitive function. Results will be compared to clinical diagnoses made by neurologists. Primary Outcome: the accuracy of the ALZGUARD diagnosis, measured by Area Under the Curve.

Eligibility

Sex/Gender
ALL
Age
55 Years to 85 Years
Healthy volunteers
No

Inclusion criteria

* Participants must be between 55 and 85 years old (both men and women). * Participants must be able to understand and voluntarily agree to the purpose, content, and procedures of the clinical trial.

Exclusion criteria

* Participants with no literacy or illiteracy. * Participants with an intellectual disability. * Participants with presenting active psychiatric symptoms. * Participants who have difficulty ALZGUARD application * Participants who are unable to use a smartphone, unless they can use it with assistant. * Participants with a history of suicidal ideation or suicidal complusion in the last 6 months. * Other conditions as deemed inappropriate for study participant by the Principal Investigator(PI).

Design outcomes

Primary

MeasureTime frameDescription
Area Under the Curve (AUC)up to 8 monthsThe primary outcome will be the Area Under the Curve (AUC), which will assess the diagnostic accuracy of ALZGUARD by comparing its results with the clinical diagnosis made by neurologists. AUC will be calculated to determine the performance of ALZGUARD in detecting dementia.

Secondary

MeasureTime frameDescription
Sensitivityup to 8 monthsThe one of the secondary outcome will measure the sensitivity of ALZGUARD in detecting dementia. Sensitivity refers to the proportion of true positive cases accurately identified by ALZGUARD, compared to clinical diagnosis made by neurologists. This measure will assess the ability of ALZGUARD to correctly identiry patients who have dementia.
Specificityup to 8 monthsSpecificity refers to the proportion of true negative cases accurately identified by ALZGUARD, compared to the clinical diagnosis made by neurologists. This outcome will assess the ability of ALZGUARD to correctly identify patient who do not have dementia.

Countries

South Korea

Contacts

Primary ContactRachel Lee
rachel.lee@haii.io+82 10-7390-5023

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026