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NCT Number: NCT07511270

Prediction of Cognitive Test Performance Using AI-Based Analysis of Narrative Speech

This study aims to evaluate a new artificial intelligence (AI)-based method for measuring cognitive function using speech recordings. Participants will complete a short storytelling task in which they describe a story based on an image while their voice is recorded using a computer or mobile device.

The speech recordings will be analyzed using AI technology to identify patterns in speech that may be related to cognitive function. The system will then estimate scores that correspond to commonly used cognitive tests.

To evaluate the accuracy of this method, the AI-generated scores will be compared with results from standard cognitive assessments administered by trained researchers. These assessments may include tests commonly used to measure memory, attention, and other cognitive abilities.

The goal of this study is to determine whether speech analysis using AI can provide a convenient and efficient approach for cognitive assessment. If successful, this technology may help support early detection of cognitive decline and provide a practical tool for large-scale or remote cognitive screening.

Recruiting

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Key information

Age range

50 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age 50 years or older
  • Able to communicate verbally and understand study instructions
  • Able to hear and speak clearly
  • Willing and able to provide written informed consent

Exclusion criteria

  • Severe speech or hearing impairment
  • History of major psychiatric disorders
  • History of stroke, traumatic brain injury, Parkinson's disease, epilepsy, or other neurodegenerative diseases
  • Current use of medications that may affect cognitive performance
  • Unable to complete the study procedures due to severe attention deficits or agitation

Treatment and study plan

AI-Based Storytelling Speech Assessment

Behavioral

Participants will be asked to describe a short story based on a randomly presented image while their speech is recorded using a web-based system on a computer or mobile device. The recorded speech will be analyzed using artificial intelligence algorithms to extract acoustic and linguistic features that may reflect cognitive function.

Primary outcomes

  1. Correlation Between AI-Predicted Cognitive Scores and Standard Cognitive Assessment Scores

    Time frame: Immediately after completion of the study session

    The correlation between cognitive scores predicted by the AI-based speech analysis system and scores obtained from clinician-administered cognitive assessments, including the Mini-Mental State Examination (MMSE) and the Wechsler Adult Intelligence Scale (WAIS).

Study contacts

Contact information is provided by the study sponsor or research team.

Ching-Yi WU, ScD

CONTACT

[email protected]

+886-3-2118800 ext. 5761

Sponsors and collaborators

Lead sponsor

Chang Gung Memorial Hospital

Other

Registry information

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Apr 6, 2026
Registry last updated
Apr 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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