Science, Space and Technology News 2023
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Identifying if someone has diabetes might soon be as simple as them uttering a few phrases into their smartphone, suggests a pioneering study from Klick Labs. This research merges voice recognition technology and artificial intelligence, marking a significant advancement in the field of diabetes identification.
A new clinical study by Klick Labs found that AI and 10 seconds of voice could change the way people screen for diabetes, offering better access and lower costs than current screening methods. The findings, published in Mayo Clinic Proceedings: Digital Health, reported 89 percent accuracy for women and 86 percent for men in predicting Type 2 diabetes from acoustic voice features.
Yan Fossat, vice president of Klick Labs and principal investigator of this study, said Klick’s non-intrusive and accessible approach offers the potential to screen vast numbers of people and help identify the large percentage of undiagnosed people with Type 2 diabetes.
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