AI Detects Diabetes by Listening to Patients' Speech with 90% Accuracy
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The latest medical research indicates that AI can accurately detect type 2 diabetes by listening to a patient's voice for just 6-10 seconds. The study reveals an accuracy rate of 89% among women and 86% among men, suggesting a groundbreaking technology that could revolutionize diabetes screening methods. The research analyzed over 18,000 recordings, encompassing 14 different acoustic features, successfully identifying the vocal differences between diabetic and non-diabetic individuals. This technology is poised to become an accessible and cost-effective digital screening tool, bringing revolutionary changes to medical practices.
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