A revolution in health with technology; diabetes diagnosis in 10 seconds

A new study has shown that a method combining voice technology in smartphones with artificial intelligence can diagnose "diabetes" in 10 seconds.

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A revolution in health with technology; diabetes diagnosis in 10 seconds

According to a report on the EurekAlert website, researchers from Klick Labs, a company working on software solutions, have developed a new method that can diagnose "diabetes" using a 6 to 10-second voice recording taken on a smartphone.

Accordingly, 267 people were asked to record 6 to 10-second voice messages 6 times a day for 2 weeks, and an artificial intelligence model was developed that could determine whether they had type 2 diabetes by also taking into account the participants' height, weight, gender, age, and basic health information.

Researchers analyzed 14 vocal features from over 18 thousand voice recordings to distinguish type 2 diabetes patients from others.

Examining a series of vocal features that the human ear cannot perceive, the researchers processed the signals in these voices to detect the changes that type 2 diabetes causes in the voice.

The accuracy rate of the artificial intelligence model in question was measured at 89 percent for women and 86 percent for men.

USING VOICE TECHNOLOGY IN THIS AREA PROVIDES SIGNIFICANT BENEFITS

The lead author of the study, Jaycee Kaufman, emphasized that the study highlights the distinct vocal differences between individuals with and without type 2 diabetes and could improve diabetes screening methods.

Noting that current screening methods are time-consuming and costly, Kaufman said, "Voice technology has the potential to completely eliminate these barriers."

Klick Labs Vice President and lead researcher of the study, Yan Fossat, also stated that the new method has the potential to make diabetes screenings easy and widespread.

The International Diabetes Federation reports that nearly 1 in every 2 people living with this disease, or approximately 240 million people, are unaware that they have diabetes, and that approximately 90 percent of cases are type 2.

The results of the study were published in the scientific journal "Mayo Clinic Proceedings".

News Source: AA