AI reads faces and voices to spot Parkinson's

NCT ID NCT07392411

Recruiting now Diagnosis Sponsor: Beijing Tiantan Hospital Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study is testing whether artificial intelligence can help diagnose Parkinson's disease by analyzing facial expressions and speech patterns. Researchers will record videos of 720 participants, including people with Parkinson's and similar conditions, as well as healthy volunteers. The goal is to develop a digital tool that could make diagnosis faster and more objective.

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 could lead to a new, non-invasive digital tool to help doctors diagnose Parkinson's disease and related conditions earlier and more accurately.
What could go wrong: This is an early-stage study focused on developing and testing the AI model. The technology may not prove accurate enough for real-world use, and results may not apply to all patients.

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.

multiple system atrophy Parkinson disease progressive supranuclear palsy

As listed by the trial registrant

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

HEALTHY CONTROL MULTIPLE SYSTEM ATROPHY PARKINSON'S DISEASE PROGRESSIVE SUPRANUCLEAR PALSY(PSP)

Contacts and locations

Locations

首都医科大学附属北京天坛医院
RECRUITING

Beijing, Beijing Municipality, 100070, China

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