AI can diagnose people with diabetes in 10 SECONDS using voice recording, new study reveals

Canadian medical researchers have trained a machine-learning AI to accurately predict Type 2 diabetes from just six to 10 seconds of the patient's spoken voice. This was achieved after the model identified 14 acoustic features for differences between non-diabetic and Type 2 diabetic individuals. The AI focused on a set of vocal features, including slight changes in pitch and vocal intensity that the human ears can't hear of doctors, and paired that data with basic health information, including the patient's age, sex, height, and weight. Sex proved to be decisive, the researchers found: The AI can diagnose the disease with 89 percent for women, but slightly less accurately, 86 percent for men. A Canadian firm has trained a machine-learning AI to accurately predict Type 2 diabetes from just six to 10 seconds of a patient's spoken voice.