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RECRUITING
NCT06949865

AI-Enhanced Optimization of Acute Levodopa Challenge Test

Sponsor: Beijing Tiantan Hospital

View on ClinicalTrials.gov

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.

Official title: 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

Key Details

Gender

All

Age Range

50 Years - 75 Years

Study Type

OBSERVATIONAL

Enrollment

2000

Start Date

2024-05-28

Completion Date

2026-12-31

Last Updated

2025-04-29

Healthy Volunteers

No

Interventions

OTHER

video recording

The patient's motor symptoms were recorded via video for assessment purposes.

Locations (1)

Beijing Tiantan Hospital, Affiliated to Capital Medical University

Beijing, China