Predicting cognitive test scores from narrated stories using AI
Official title: Prediction of Cognitive Test Performance Using AI-Based Analysis of Narrative Speech
Run by Chang Gung Memorial Hospital · NCT07511270 · Data updated 2026-11-12
We will test whether an AI program can estimate standard cognitive test scores from short recorded storytelling tasks in people aged 50 and older with memory or thinking concerns.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years and up |
| Sex | All |
| Enrollment | 150 (estimated) |
| Sponsor | Chang Gung Memorial Hospital Academic / other |
| Locations | 1 site (Taoyuan) |
| Status | Recruiting |
| Started | December 1, 2025 |
| Main results expected | March 31, 2026 |
| Study ends | April 30, 2026 |
| Registry record updated | April 6, 2026 |
| Trial ID | NCT07511270 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 50 or older who can hear and speak clearly, can follow simple instructions, can provide informed consent, and have subjective cognitive complaints or mild cognitive impairment without major neurological or psychiatric illness.
✕Probably not a fit
People with severe speech or hearing impairments, major neurodegenerative diseases (like advanced Parkinson's), recent stroke or traumatic brain injury, major psychiatric disorders, or current medications that substantially affect cognition are unlikely to benefit from this method.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Participants aged 50 and older will complete a brief storytelling task based on an image while their voice is recorded using a computer or mobile device. The recorded speech will be processed by an AI system that extracts speech and language features to generate estimates corresponding to common cognitive tests. Trained researchers will also administer standard cognitive assessments to each participant, and the AI-generated scores will be compared with these reference test results. The comparison will determine how closely the speech-based estimates match established cognitive measures and whether the method could be practical for screening or monitoring.
Why it matters
Potential benefit: If successful, this approach could offer a convenient, noninvasive way to screen for or monitor cognitive changes using brief voice recordings.
How similar studies have gone: Previous research has shown promising early results linking speech and language features to cognitive impairment, but voice-based AI tests are not yet fully validated as standalone diagnostic tools.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age 50 years or older 2. Able to communicate verbally and understand study instructions 3. Able to hear and speak clearly 4. Willing and able to provide written informed consent Exclusion Criteria: 1. Severe speech or hearing impairment 2. History of major psychiatric disorders 3. History of stroke, traumatic brain injury, Parkinson's disease, epilepsy, or other neurodegenerative diseases 4. Current use of medications that may affect cognitive performance 5. Unable to complete the study procedures due to severe attention deficits or agitation
Where it's running
-
Taoyuan
Taoyuan, Taiwan Recruiting
Study contacts
- Study coordinator: Ching-Yi WU, ScD
- Email: cywu@mail.cgu.edu.tw
- Phone: +886-3-2118800
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.