This study will investigate new, non-invasive methods to help diagnose Parkinson's disease. Researchers will use advanced eye imaging (hyperspectral retinal photography and OCT), computerized memory and thinking tests, and voice analysis to identify patterns linked to Parkinson's. The goal is to improve early and accurate diagnosis of Parkinson's disease without the need for spinal taps or invasive tests.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Performance of combined model, retinal, voice and cognitive data
Timeframe: Through study completion, an average of 6 months
Performance retinal biomarkers
Timeframe: Through study completion, an average of 6 months