AI can diagnose type 2 diabetes from a 10-second voice clip
Researchers just trained an AI model that detects type 2 diabetes by listening to someone speak for just 6 to 10 seconds. Developed by Canadian scientists at Klick Labs, the tool picks up subtle vocal pitch and intensity variations invisible to the human ear, reaching up to 89% accuracy in women and 86% in men. Why it matters: If validated further, voice-based screening could replace painful, costly in-person blood tests with a quick smartphone recording.