AI can diagnose someone with diabetes in 10 seconds through their voice.

Medical researchers in Canada have trained artificial intelligence (AI) to accurately diagnose type 2 diabetes in just 6 to 10 seconds, using the patient’s voice.

According to the Daily Mail, a research team at Klick Labs in the United States has achieved this breakthrough after their AI machine learning model identified 14 distinct audio characteristics between individuals without diabetes and those with type 2 diabetes.

The AI focused on a set of voice features, including subtle changes in pitch and intensity that are imperceptible to the human ear. This data was then combined with basic health information, including age, gender, height, and weight of the study participants.

The researchers found that gender played a determinant role: the AI could diagnose the disease with an accuracy rate of 89% for women, slightly lower at 86% for men.

This AI model holds the promise of significantly reducing the cost of medical check-ups. The research team stated that the Klick Labs model would be more accurate when additional data such as age and body mass index (BMI) of the patients are incorporated.

Mr. Yan Fossat, Deputy Director of Klick Labs and the lead researcher of this model, is confident that their voice technology product has significant potential in identifying type 2 diabetes and other health conditions.

Professor Fossat also teaches at the Ontario Tech University, specializing in mathematical modeling and computational science for digital health.

He hopes that Klick’s non-invasive and accessible AI diagnostic method can create opportunities for disease diagnosis through a simple mobile application. This would help identify and support millions of individuals with undiagnosed type 2 diabetes who may not have access to screening clinics.

He also expressed his hope to expand this new research to other healthcare areas such as prediabetes, women’s health, and hypertension.