Remember when you lived in another city, far away from your mother. During a phone call, your mother tells you as soon as she hears your voice that you are in a bad mood or not feeling well. Are you tired or 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.
Will you know if you are sick or not just by listening to your voice?
United States The 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 the world as part of its Bridge2AI program to develop AI applications that can use speech analysis to diagnose disease. through this. Every nuance of the voice will be examined, from volume, speed and pitch to vibrations of the vocal cords that cannot be heard by the human ear. And even breathing patterns will be used to diagnose not only speech disorders, but also neurological diseases, mental health conditions, respiratory problems and spectrum disorders like autism.
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Artificial intelligence will detect type 2 diabetes by listening to language
Artificial intelligence can analyze speech patterns to detect type 2 diabetes. That too with astonishing accuracy. This method can prove to be a useful diagnostic tool. But it comes with a warning label. Medical diagnostic tools using advanced speech analysis are becoming increasingly accurate.
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Analyzing speech patterns can provide valuable insights. Especially for diseases like Parkinson’s or Alzheimer’s. Mental illnesses, depression, post-traumatic stress disorder, and heart disease can also be detected through speech analysis. Artificial intelligence (AI) can also detect narrowing of blood vessels or signs of fatigue. This helps healthcare professionals treat patients faster and reduce 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 medical journal Mayo Clinic Proceedings: Digital Health.
