2024
DOI: 10.3390/brainsci14020137
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Unveiling the Diagnostic Potential of Linguistic Markers in Identifying Individuals with Parkinson’s Disease through Artificial Intelligence: A Systematic Review

Cinzia Palmirotta,
Simona Aresta,
Petronilla Battista
et al.

Abstract: While extensive research has documented the cognitive changes associated with Parkinson’s disease (PD), a relatively small portion of the empirical literature investigated the language abilities of individuals with PD. Recently, artificial intelligence applied to linguistic data has shown promising results in predicting the clinical diagnosis of neurodegenerative disorders, but a deeper investigation of the current literature available on PD is lacking. This systematic review investigates the nature of languag… Show more

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“…ML has emerged as a valuable tool in a variety of healthcare applications, including the detection of PD [ 65 , 66 ] and a number of related memory disorders [ 67 , 68 ], proving itself worthy of consideration for analysing CI. ML encompasses various approaches including supervised, unsupervised, deep and ensemble learning.…”
Section: Introductionmentioning
confidence: 99%
“…ML has emerged as a valuable tool in a variety of healthcare applications, including the detection of PD [ 65 , 66 ] and a number of related memory disorders [ 67 , 68 ], proving itself worthy of consideration for analysing CI. ML encompasses various approaches including supervised, unsupervised, deep and ensemble learning.…”
Section: Introductionmentioning
confidence: 99%