If you’re scared of needles, you might be interested to know that researchers are investigating a possible voice test for diabetes.
That’s right. A brief recording of your voice could indicate whether or not you have diabetes.
A Voice Test for Diabetes?
A program designed to use no more than 10 seconds of speech has proven capable of identifying the presence of diabetes with remarkable accuracy.
In an experiment conducted by Klick Labs, 267 individuals recorded a short phrase on their smartphones six times a day over a span of two weeks. This group had recently undergone testing for Type 2 diabetes. The aim? To discern any acoustic differences between the voices of those who tested positive and those who didn’t.
By analyzing the participants’ voice prints in conjunction with data like age, sex, height, and weight, an AI model made astonishing predictions. The accuracy rate stood at 86% for men and an even higher 89% for women.
Unraveling the Science Behind Voice Analysis
The question arises: Why does diabetes influence one’s voice? The synthesis of our voice is a multifaceted process that integrates the respiratory system, nervous system, and the larynx. Factors that impact any of these systems can, in turn, alter the voice. While such changes might escape the human ear, computers, with their advanced analytical capacities, can detect them with precision.
Among the vocal attributes studied, pitch and its variation proved to be the most predictive of diabetes. Interestingly, some vocal attributes only enhanced prediction accuracy for one gender. For instance, “perturbation jitter” was a key factor for women, whereas “amplitude perturbation quotient shimmer” was significant for men.
It’s worth noting that prolonged elevated blood sugar can impair peripheral nerves and muscle fibers, leading to voice disorders. Moreover, even temporary elevations in blood glucose can potentially influence vocal cord elasticity, though this theory still awaits validation. Furthermore, emotional factors, such as anxiety and depression—both of which can be associated with diabetes—may further modulate voice characteristics.
Beyond Conventional Diabetes Testing
Jaycee Kaufman, the leading author of the study, emphasized the transformative potential of their findings: “Voice technology can potentially revolutionize the way the medical community screens for diabetes. Traditional detection methods can be cumbersome, both in terms of time and cost. This technology could eliminate these challenges altogether.”
Considering the global surge in diabetes cases, and the complications arising from late diagnoses, the introduction of a non-invasive, rapid testing tool can be a game-changer. The International Diabetes Federation has highlighted that nearly 50% of adults with diabetes remain unaware of their condition. Predictably, this unawareness is most pronounced in nations where healthcare infrastructure is stretched thin. The economic implications are staggering, with undiagnosed diabetes projected to cost an exorbitant $2.1 trillion annually by 2030.
Voice technology, as an alternative to blood sample-based tests, presents a promising avenue for early detection and intervention.
A Healthier Future Using A Voice Test for Diabetes
Buoyed by the success of their study, Klick Labs is planning a larger-scale project. They aim not only to refine the accuracy of their model but also to expand its scope. Their vision extends beyond diabetes detection, as they explore its applicability to conditions like prediabetes and hypertension.
Yan Fossat, co-author of the study, expressed enthusiasm for the innovation: “Voice technology has the potential to usher in a new era in healthcare, positioning itself as a vital digital screening tool that’s both accessible and economical.”
As the study gains traction and the technology evolves, the implications for global health are profound. With the power of voice technology, a world where early, easy, and efficient disease detection is the norm, may not be too far off.
Source: “10 Seconds Of Recorded Speech Can Reveal If Someone Has Diabetes” — IFL Science
