New AI Tool To Be Tested in NIH-Funded Study To Improve Diagnosis of Parkinson’s and Related Disorders
University of Florida researchers will broadly test a new artificial intelligence tool aimed at distinguishing the precise diagnosis for patients with early Parkinson’s disease or two related but distinct Parkinson’s-like syndromes under a new $5 million grant from the National Institutes of Health.
The three distinct neurodegenerative disorders — Parkinson’s disease; multiple system atrophy Parkinsonian variant, or MSAp; and progressive supranuclear palsy, or PSP — can be difficult to differentiate because they share overlapping motor and non-motor features, such as changes in gait. But they also have important differences in pathology and prognosis, and obtaining an accurate diagnosis is key to determining the best possible treatment for patients as well as developing improved therapies of the future. Previous research has shown that the accuracy of diagnosis in early Parkinson’s can be as low as 58%, and more than half of misdiagnosed patients actually have one of the two variants.
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