Iraqi, Australian scientists develop system identifying diseases through tongue color
Using a computer program that analyzes the color of the human tongue, many illnesses have been predicted with 98 percent accuracy.
Researchers from Iraq and Australia have created a suggested imaging system that may identify COVID-19, diabetes, asthma, stroke, anemia, liver and gallbladder disorders, and a variety of gastrointestinal and vascular problems, according to a report published by Medical Xpress.
The achievement was made possible by a series of tests conducted by engineering researchers from Middle Technical University (MTU) and the University of South Australia (UniSA).
These researchers trained machine learning algorithms to identify tongue color using 5,260 photographs.
Patients with different medical issues provided 60 tongue photos through two teaching hospitals in the Middle East. In nearly every case, the artificial intelligence model was able to correlate the illness with the color of the tongue.
The suggested approach uses tongue color analysis to deliver an immediate diagnosis. This confirms that artificial intelligence is the key to many medical advancements.
Senior author and adjunct associate professor Ali Al-Naji of MTU and UniSA explained that artificial intelligence is reproducing a 2,000-year-old technique commonly employed in traditional Chinese medicine.
Tongue color, shape, and thickness can indicate a wide range of medical issues, according to Al-Naji.
In the experiment, a patient’s tongue color was recorded by cameras 20 centimeters away, and an imaging system used this data to predict the patient’s health in real time.
This is how, according to co-author and UniSA professor Javaan Chahl, a smartphone will be utilized in the future for illness diagnosis.
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