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Multimodal Deep Learning Framework for Customizable and Interpretable Parkinson's Disease Detection

2026-01-05 health systems and quality improvement Title + abstract only
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BackgroundParkinsons Disease (PD) is often reduced to its most visible motor symptoms, yet it is a systemic neurodegenerative disorder with a highly heterogeneous presentation. While cardinal motor signs such as bradykinesia, rigidity, and tremor arise from the loss of dopaminergic neurons in the substantia nigra, they typically manifest only after substantial neurodegeneration (approximately 50-70% loss) has already occurred, inevitably leading to delayed detection [1] PD significantly impacts ...

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