Could a simple tablet test and AI catch dementia years earlier?

NCT ID NCT06017505

ENROLLING_BY_INVITATION Diagnosis Sponsor: Douglas Scharre Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study explores whether a self-administered digital test called eSAGE, combined with information from electronic health records and machine learning, can help detect early signs of cognitive impairment, including dementia and Alzheimer's disease. Researchers will analyze data from over 1,400 adults aged 50 and older to see if this approach can accurately distinguish between those with normal cognition and those with early memory problems. The goal is to develop a new tool that could make early detection easier and more accessible.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this approach could provide a simple, scalable tool for earlier detection of cognitive decline, potentially allowing for earlier intervention.
What could go wrong: This is an observational study, not a treatment trial. The tool may not prove accurate enough for widespread clinical use, and results may not apply to all populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Alzheimer disease Cognitive Dysfunction dementia

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ALZHEIMER DISEASE DEMENTIA MILD COGNITIVE IMPAIRMENT WORRIED WELL

Contacts and locations

Locations

Nicole Vrettos

Columbus, Ohio, 43123, United States

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