2023-10-27 03:58:21
Klick Health has developed a combination of voice technology and AI artificial intelligence to detect diabetes. Now everyone can easily determine whether they have diabetes by just speaking a few words into their mobile phone.
Klick Health combines voice technology and AI artificial intelligence to allow you to preliminarily diagnose whether you have diabetes by talking to your mobile phone.
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According to content released by Klick Health on October 18, they are now conducting research that combines voice technology and AI artificial intelligence to determine whether they have diabetes. Users only need to say a few words to their mobile phones to easily know whether they have diabetes. Is it possible to have diabetes. The study looked at 192 people in the general population and 75 people with type 2 diabetes, for a total of 267 participants.
These participants were asked to record the sentence “Hello, how are you? What is my current blood sugar level?” with their own voices every day for two weeks, at least six times a day.
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The recorded data were studied and the results were published inMayo Clinic Proceedings: Digital HealthAbove, scientists use the 6 to 10 seconds of voice recorded above, combined with basic health data including age, gender, height, weight, etc., to build an AI artificial intelligence voice technology model. This model study found participants with type 2 diabetes. There are “14 different voice differences” between the general participants. Through this voice change, it can be distinguished whether an individual has type 2 diabetes (T2DM). This speech technology model is 89% accurate for women and 86% accurate for men.
The original diagnostic tests for detecting diabetes, such as glycated hemoglobin (A1C), fasting blood glucose (FBG) test or oral glucose tolerance test, required going to a hospital or medical institution for testing, and there was no way to detect it in time. However, using this voice technology model, you can first Do preliminary testing.
Yan Fossat, vice president and principal investigator of Klick Health, also pointed out that Klick Health’s non-invasive testing method has the potential to screen a large number of people and help identify a large number of people who have not yet been diagnosed with type 2 diabetes. He also said that Klick Health’s voice technology may become an accessible and affordable digital screening tool. Yan Fossat further revealed that in the future, he will replicate the research on voice technology and expand the scope of research to diagnose prediabetes, women’s health and hypertension.
Although this new technology is quite amazing, the accuracy of this model is not 100% accurate. At most, the detection results can only be used as a preliminary detection reference. If the AI detects that it matches the voice characteristics of a suspected type 2 diabetes patient, it still needs to be Going to the hospital for more precise examination will not delay the condition.
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