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Background. Neurodegenerative diseases are placing an increasing burden on healthcare systems worldwide, while artificial intelligence is becoming integrated into an expanding range of clinical and research applications, from neuroimaging interpretation to biomarker analysis and drug discovery. Objective. This narrative review critically evaluates the applications of artificial intelligence across Parkinson disease, Alzheimer disease, amyotrophic lateral sclerosis, Huntington disease, and multiple sclerosis, with particular emphasis on the areas in which human clinical expertise remains essential. Main findings. Deep learning and other artificial intelligence models applied to neuroimaging, gait, speech