Abstract:
Background: Parkinson’s disease has been considered one of the most common and important
neurodegenerative conditions in the world. Its motor and non-motor signs determine a huge
functional loss, leading the individuals to lose their independence. Artificial neural network (ANN)
is a common machine learning method in Artificial Intelligence (AI) technology. Physical therapy is
one of the mainstays of rehabilitation of these patients.This systematic review aims to evaluate the
current body of research surrounding the role of artificial intelligence (AI) in Neurorehabilitation of
Parkinson’s Disease.
Materials and Methods: Literature search was conducted through electronic databases like Google
Scholar, PubMed, Science Direct, ERIC. Full Text research articles in English from January 2018-
January 2022 were included in the study. Artificial intelligence, neurorehabilitation, Parkinson’s
disease were the key words used. Research articles evaluating neurological conditions apart from
Parkinson’s disease and other rehabilitation methods apart from use of Artificial Intelligence were
excluded. The initial search identified 91 articles. After removal 79 research articles of duplication, as
per inclusion and exclusion criteria, total number of 16 articles were included.
Conclusion: Artificial Intelligence can be considered an effective treatment option for the
physiotherapeutic rehabilitation of neurological patients like Parkinson’s disease
