Remember when you live in another city, away from your mother. On a phone call, your mother can tell you that you are in a bad mood or unwell just by hearing your voice. Are you tired or feeling sad? Artificial intelligence cannot match a mother’s intuition, but it is enough to detect many types of diseases by listening to a few seconds of a voice clip.
Just by listening to the voice, it will tell you whether you are sick or not?
The US National Institutes of Health – in collaboration with the University of South Florida (USF), Cornell and 10 other institutions – is collecting voice data from all over as part of its Bridge2AI program to develop AI applications that will diagnose disease through speech analysis. Every nuance of the voice will be examined, from volume, speed and tone to vocal cord vibrations that cannot be heard by the human ear and even breathing patterns to diagnose not just speech disorders but also neurological diseases, mental health problems, respiratory problems and spectrum disorders such as autism.
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Artificial Intelligence will detect Type 2 Diabetes by listening to language
Artificial intelligence can analyse speech patterns to detect type 2 diabetes, with surprising accuracy. The method could prove to be a useful diagnostic tool. But it comes with a warning label. Medical diagnostic tools that use advanced voice analysis are becoming increasingly accurate.
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Analyzing speech patterns can provide valuable insights. Particularly for diseases like Parkinson’s or Alzheimer’s. Mental illness, depression, post-traumatic stress disorder and heart disease can also be detected using voice analysis. Artificial intelligence (AI) can also detect signs of constricted blood vessels or exhaustion. This helps medical professionals treat patients sooner and minimize any potential risks.
A short voice recording can detect with surprising accuracy whether a person has type 2 diabetes, according to a study published in the Mayo Clinic Proceedings: Digital Health medical journal.
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