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AI detects Parkinson's disease early through voice analysis

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Key Points
  • AI analyzes voice changes to detect Parkinson's disease earlier.
  • The method identifies vibrations inaudible to humans as key indicators.
  • Researchers aim to enable remote health monitoring via mobile phones.

Researchers in Malmö, Sweden, have developed a method using artificial intelligence to detect Parkinson's disease earlier by analyzing voice changes. The AI can identify measurable changes in the voice, such as vibrations inaudible to the human ear, that are typical of Parkinson's. According to Carl Magnus Olsson, a docent in digital health, this allows doctors to make an earlier diagnosis when combined with other symptoms.

The researchers, in collaboration with institutions like Karolinska Institutet, have conducted studies on how digital technology can track the progression of Parkinson's over time. They hope voice analysis via AI could eventually become a simple way to monitor health remotely, such as through mobile phones.

this allows doctors to make an earlier diagnosis when combined with other symptoms

Carl Magnus Olsson, docent in digital health

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