Medical diagnostic tools using advanced voice analysis are becoming increasingly precise. Analyzing speech patterns can provide valuable insights, particularly for diseases such as Parkinson's or Alzheimer's.
According to a study published in the Mayo Clinic Proceedings: Digital Health medical journal, a short voice recording is all it takes to determine with surprising accuracy whether an individual has type 2 diabetes. Undetected disease This technology is intended to help identify people living with undiagnosed diabetes. Worldwide, some 240 million adults have diabetes and don't know it. Nearly 90% of cases are type 2 diabetes, according to the International Diabetes Federation.
With voice frequency analysis, changes in the voice that are inaudible to the human ear are analyzed by AI. Oftentimes, recordings of a phone conversation are all the software needs for the analysis. It examines factors such as speech melody, cadence, pauses, and pitch. Certain symptoms have characteristic phonetic traits, such as how the vowel...
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