AI detects diseases via facial videos
A recent study has shown that analyzing facial videos using artificial intelligence enables highly accurate, contactless detection of hypertension and diabetes in everyday life environments. The algorithm relies on analyzing the dynamic wave patterns of pulse and blood flow in the skin, achieving a detection accuracy of up to 95% from short recordings lasting 30 seconds. This approach offers a non-contact and effective method for diagnosing conditions in public settings, facilitating early detection, reducing reliance on traditional measurement devices, and预计ion a potential contribution to improving prevention and treatment of cardiovascular diseases.
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