The ancient practice of examining the human tongue for signs of disease, used by Chinese herbalists, is now being employed by computer scientists with the help of machine learning and artificial intelligence (AI). This technique, known as tongue diagnosis, is becoming increasingly popular as a method for remotely monitoring health, with researchers from Iraq and Australia demonstrating its growing accuracy in disease detection.
In a study conducted by engineers from the Middle Technical University and the University of South Australia, a USB web camera and computer were utilized to capture tongue images from 50 patients with diabetes, renal failure, and anemia. By comparing the colors with a database of 9,000 tongue images and employing image processing techniques, researchers were able to accurately diagnose the diseases in 94% of cases, surpassing current laboratory results. The patients or their designated health providers were also sent a text message with a voicemail specifying the tongue color and disease.
A newly published paper presented at The Fourth Scientific Conference For Electrical Engineering Techniques Research (EETR2022) reviewed the global advancements in computer-aided disease diagnosis based on tongue color. The study highlighted the potential for highly accurate remote disease diagnosis in a safe, effective, easy, painless, and cost-effective manner, particularly relevant in situations such as the COVID-19 pandemic.
The color of the tongue can indicate different conditions, such as yellow for diabetes, purple with a thick greasy coating for cancer, or red and crooked for acute stroke. Even COVID-19 patients have shown specific tongue color indicators, with a pale pink tongue for mild infection, a red tongue for moderate infection, and a dark red tongue for severe cases.
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