Student Research · AI and Computer Science

The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech

Mentored by Dr. Rajagopal Appavu · with Coach Jo

AI and Computer Science May 2023 Published in Journal of Student Research
Abstract

The basal ganglia consist of the striatum, substantia nigra, and other nuclei, forming various pathways of motor initiation. Parkinson’s disease (PD) is a neurodegenerative disorder characterized by dysfunction of the basal ganglia pathways. Consequently, PD affects the production of speech. An AI model can analyze audio samples from regular and PD patients. A simple deep learning model with various layers, ReLU activation, sigmoid activation, optimizer, loss function, and Early_Stopping can use extracted speech features to classify patients as regular or PD-afflicted with up to 97% accuracy. Overall, the advent of user-friendly artificial intelligence has led to exciting times, with new medical advancements emerging day after day; perhaps the ease of AI implementation will encourage others to solve everyday problems with just a computer and a dream.

Cite this work

Citation

Tripathi, A. (2023). The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech. Gifted Gabber Research Archive. https://www.giftedgabber.com/paper/age-meta-doctor-diagnosing-parkinson-disease-tripathi
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The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech

About the author

Student researcher

A
Ayush Tripathi
Gifted Gabber Research Program

Completed through the 2023 Research Program at Gifted Gabber.

Original publication

Published in Journal of Student Research

Vol. 12 No. 2 (2023)

These links open archived snapshots — JSR's live site is currently unstable, so we route through the Internet Archive's Wayback Machine for reliable access to the original publication.

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