Trials / Recruiting
RecruitingNCT06949865
AI-Enhanced Optimization of Acute Levodopa Challenge Test
Clinical Research on Optimization of Acute Levodopa Challenge Test and Exploration of New Motor Paradigm Based on the Integration of Perception Technology and Artificial Intelligence
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 2,000 (estimated)
- Sponsor
- Beijing Tiantan Hospital · Academic / Other
- Sex
- All
- Age
- 50 Years – 75 Years
- Healthy volunteers
- Not accepted
Summary
A quantitative evaluation method was developed for Parkinson's disease and other atypical parkinonism by integrating an innovative motor paradigm with perception technologies and artificial intelligence. Combined with traditional motor paradigms and the acute levodopa challenge test, this study aims to identify diagnostic cut-off values for PD and other atypical parkinonism, explore digital biomarkers for early and differential diagnosis, and establish a corresponding diagnostic model.
Conditions
- Vascular Parkinsonism
- Drug-induced Parkinsonism
- Corticobasal Degeneration (CBD)
- Parkinson Disease (PD)
- Dementia With Lewy Body Disease
- Progressive Supranuclear Palsy(PSP)
- Multiple System Atrophy (MSA)
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | video recording | The patient's motor symptoms were recorded via video for assessment purposes. |
Timeline
- Start date
- 2024-05-28
- Primary completion
- 2026-12-31
- Completion
- 2026-12-31
- First posted
- 2025-04-29
- Last updated
- 2025-04-29
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06949865. Inclusion in this directory is not an endorsement.