Detecting Parkinson’s Disease Through Voice Analysis

Currently, Parkinson’s disease is diagnosed primarily by evaluating symptoms, as definitive tests are lacking. However, recent advancements indicate that AI technologies can assess vocal characteristics, identifying voice-related indications of the condition with over 90% accuracy—possibly even prior to the emergence of motor symptoms.

The condition is marked by the accumulation of misfolded proteins known as alpha-synuclein. Research suggests that testing may be feasible through the detection of this protein in spinal fluid or via a skin biopsy.