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
Beijing Tiantan Hospital
2,000 participants
May 28, 2024
OBSERVATIONAL
Conditions
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.
Eligibility
Plain Language Summary
Simplified for easier understanding
This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.
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Interventions
The patient's motor symptoms were recorded via video for assessment purposes.
Locations(1)
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NCT06949865