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AI Model to Detect Diabetes, Stroke, COVID with 97% Accuracy by Studying the Color, Shape of Tongue

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Researchers at Middle Technical University and University of South Australia developed an AI imaging system capable of diagnosing various diseases by analyzing the tongue’s appearance. The system identifies conditions such as diabetes, cancer, and Covid-19 by evaluating tongue color and other features. The study, published in Technologies journal, showcased a 96.6% diagnostic accuracy rate.

An imaging system developed by researchers at the Middle Technical University (MTU) and the University of South Australia (UniSA) in Australia can diagnose conditions such as diabetes, stroke, anemia, asthma, liver and gallbladder issues, Covid-19, and other vascular and gastrointestinal diseases.

The computer algorithm can detect diseases just by looking at your tongue.

“Key features of this evaluation include the color of the tongue, shade of the coating, form of the tongue, depth of the coating, oral moisture, tongue crevices, contusions, red spots, and tooth impressions,” the researchers have said.
Among these, tongue color is of the most importance, they have said and have added that a healthy tongue usually shows a pink color and a slender white film.