Ontario: An artificial intelligence developed by Canadian medical researchers Created the model which It will be able to accurately diagnose type 2 diabetes within six to 10 seconds by listening to the patient’s voice.

The scientists achieved this breakthrough after the model identified 14 features that differed between the voices of patients and healthy individuals.

This artificial intelligence model takes into account several characteristics of the voice, including changes in pitch and intensity of the voice, which the human ear cannot perceive, and compares the obtained data with basic health information (patient’s age, gender, height and weight). does from

In the study, the researchers found that the rate of diagnosis of the disease in women by artificial intelligence was 89 percent, while this rate was 86 percent in men.

This AI model has the potential to drastically reduce the costs of the average person suffering from this chronic disease, while traditionally the disease is diagnosed through expensive in-person tests.

Lead author of the study and research scientist at ClickLab, Jessie Coffman, said the study highlights differences in the voice of people with and without type 2 diabetes.

Jesse Kaufman is optimistic that the company’s artificial intelligence model can change the way diabetes is diagnosed in the medical field.