AI predicts diseases with 98% accuracy in real-time using tongue color

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AI predicts diseases with 98% accuracy in real-time using tongue color
Artificial IntelligenceBiologyCOVID-19
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AI analyzes tongue colors for real-time disease diagnoses such as anemia, COVID-19, vascular and gastrointestinal issues, or asthma.

AI-powered computer model to analyze patients’ tongue colors for real-time disease diagnoses such as anemia, COVID-19 , vascular and gastrointestinal issues, or asthma.A researcher demonstrates how a camera captures images of the tongue and AI model analyzes the organ's color for disease diagnostics.In the last three years healthcare technology professionals have been using artificial intelligence to their advantage and using it to narrow down diseases in patients quickly and precisely.

A 98 percent accuracy rate was achieved in predicting different diseases when the AI algorithm examined the color of the human tongue. According to a statement by the scientists, the AI model diagnosed diabetes, stroke, anemia, asthma, liver and gallbladder conditions, COVID-19, and a range of vascular and gastrointestinal issues.

Al-Naji also noted that a white tongue can indicate anemia; people with severe cases of COVID-19 are likely to have a deep red tongue; and an indigo or violet-colored tongue indicates vascular and gastrointestinal issues or asthma.Therefore, experts trained the computer vision systems equipped with a new imaging system by using 5260 images distinguished with seen classes of colors – red, yellow, green, blue, gray, white, and pink.

To test the system, 60 images of patients’ tongues who were experiencing certain health conditions were sourced from two teaching hospitals in the Middle East.

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