The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech
Mentored by Dr. Rajagopal Appavu · with Coach Jo
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.
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
The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech
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.
