For the study, a microphone was used in a soundproof booth to record the speech of healthy and Parkinson’s patients.
Prof. Kipras Pribuišis said, “So far, our approach is able to distinguish Parkinson’s from healthy people using a speech sample.”
Researcher Maskeliūnas says, “We are not creating a substitute for a routine examination of the patient.
“Our method is designed to facilitate early diagnosis of the disease and to track the effectiveness of treatment,” he adds.
However, he also says that their results have a very high scientific potential.
“Sure, there is still a long and challenging way to go before it can be applied in everyday clinical practice,” he shares.
The team of researchers believe that making use of artificial intelligence (AI) to analyze and assess speech signals can be a great and an easy way to diagnose Parkinson’s – maybe in seconds.
