Talk to the AI ​​for 10 seconds and it will tell you whether you have diabetes or not

A new medical study has found that artificial intelligence can detect type 2 diabetes simply by listening to a patient speak for 6-10 seconds. The publication told in more detail New York Post.

Photo: IStock

A Klick Labs study published in Mayo Clinic Proceedings: Digital Health found an 89% diagnostic accuracy rate in women and 86% in men.

“Our study found significant vocal differences between people with and without type 2 diabetes. This could change how the medical community diagnoses this disease, said study author Jaycee Kaufman. “Current methods for detecting diabetes require a lot of time, travel and expense. Voice technology has the potential to completely remove these barriers.”

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Researchers asked 267 people (both with and without type 2 diabetes) to record phrases on their smartphones six times a day for two weeks. Over 18 recordings were analyzed for more than 000 different acoustic characteristics that differed between diabetics and non-diabetics. Participants provided basic medical information, among other things: age, height and weight.

Signal processing technologies have made it possible to perceive some vocal sounds that are not registered by the human ear. According to Kaufman, these hidden sounds provided the necessary clues.

“Our study highlights the enormous potential of voice technology in detecting type 2 diabetes and other diseases,” explained Klick Vice President and Principal Investigator Ian Fossat. “Voice technology has the potential to revolutionize healthcare by providing an accessible and inexpensive digital screening tool.”

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Klick's next step is to replicate the study and expand voice search to detect prediabetes, hypertension and other conditions.

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