Artificial intelligence can detect type 2 diabetes just by listening to a patient speak for six to 10 seconds, a new study finds. The research from Klick Labs reveals that the AI has an 89% accuracy rate for diagnosing women and 86% for men. It works by perceiving “certain notes of vocal pitch” that don’t register to human ears, according to lead study author Jaycee Kaufman. She says the discovery could “transform how the medical community screens for diabetes.”
Source: NY POST
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