A computer algorithm has achieved a 98% accuracy in predicting different diseases by analyzing the color of the human tongue. The proposed imaging system developed by Iraqi and Australian researchers can diagnose diabetes, stroke, anemia, asthma, liver and gallbladder conditions, COVID-19, and a range of vascular and gastrointestinal issues. Engineering researchers from Middle Technical University (MTU) and the University of South Australia (UniSA) achieved the breakthrough in a series of experiments where they used 5260 images to train machine learning algorithms to detect tongue color.
Two teaching hospitals in the Middle East supplied 60 tongue images from patients with various health conditions. The artificial intelligence (AI) model was able to match the tongue color with the disease in almost all cases. A new paper published in Technologies outlines how the proposed system analyses tongue color to provide on-the-spot diagnosis, confirming that AI holds the key to many advances in medicine.
Senior author, MTU and UniSA Adjunct Associate Professor Ali Al-Naji, says AI is replicating a 2000-year-old practice widely used in traditional Chinese medicine – examining the tongue for signs of disease. The color, shape and thickness of the tongue can reveal a litany of health conditions. Typically, people with diabetes have a yellow tongue; cancer patients a purple tongue with a thick greasy coating; and acute stroke patients present with an unusually shaped red tongue.
A white.