Machine learning detects early speech patterns in Parkinson's disease.

Researchers used natural language processing (NLP) and artificial intelligence (AI) to analyze the speech of Parkinson's disease patients and found distinct patterns, including the use of more verbs but fewer nouns and fillers. These patterns were detectable even before cognitive decline typically associated with PD was evident, offering a potential new tool for early diagnosis. The analysis was capable of identifying Parkinson's patients with over 80% precision, underscoring the potential of NLP and AI in enhancing healthcare diagnostics.