Getting screened for type 2 diabetes could one day be as simple as speaking into your smartphone. Currently, gauging diabetes risk requires fasting, taking a blood test and waiting days for the results. In an effort to change that, researchers from Klick Applied Sciences in Toronto, Canada, have developed an artificial intelligence model that uses a 10-second voice recording to predict diabetes risk.
The non-intrusive and accessible nature of the approach has the potential to screen vast numbers of people and help identify a number of undiagnosed people with type 2 diabetes,' he said. How can the voice ‘indicate’ diabetes? Jaycee Kaufman, a research scientist at Klick Labs, said that while it’s not clear exactly which symptom of diabetes affects voice features, the disease can result in complications like peripheral neuropathy , edema or muscle weakness.