AI Model 98% Accurate in Detecting Diseases from a Tongue Pic
Researchers in Iraq and Australia have developed a computer algorithm that can analyze the color of a person’s tongue to detect their medical condition in real-time, with an accuracy rate of 98%.
How it Works
The technology mimics the traditional Chinese medicine practice of examining the tongue for signs of disease. Patients sit about 8 inches from a laptop equipped with a webcam, which takes a picture of their tongue. The program uses this image to identify the tongue color and the corresponding condition.
Training the Model
More than 5,200 images were used to train the artificial intelligence model to identify tongue color and the corresponding condition. Researchers tested it with 60 tongue images from two teaching hospitals in the Middle East.
Accuracy and Potential
The program was able to determine the disease in almost all cases, with an accuracy rate of 98%. The technology has enormous value for the diagnosis and treatment of diseases, and can be used for a variety of conditions, including diabetes, stroke, anemia, asthma, liver and gallbladder problems, and COVID-19.
Future Development
The study’s authors plan to develop a smartphone app that can diagnose these conditions using the tongue analysis technology. This could be a game-changer for healthcare, making it easier and more accessible for people to get diagnosed and treated.
Challenges Ahead
While the technology shows great promise, there are still some hurdles to overcome. Patient reluctance to provide data and reflections captured by the camera may mislead the algorithm, and the lack of a definitive data set for AI tongue image analyses is a concern.
Conclusion
The technology has enormous potential to revolutionize the way we diagnose and treat diseases. By harnessing the power of AI to analyze tongue images, we can make healthcare more accessible, efficient, and effective.
FAQs
Q: How does the technology work?
A: The technology uses a webcam to take a picture of a person’s tongue, which is then analyzed by an AI algorithm to identify the color and corresponding condition.
Q: How accurate is the technology?
A: The technology has an accuracy rate of 98%.
Q: What conditions can be diagnosed using this technology?
A: The technology can be used to diagnose a range of conditions, including diabetes, stroke, anemia, asthma, liver and gallbladder problems, and COVID-19.
Q: Is the technology available for use now?
A: The technology is still in development, but the authors plan to develop a smartphone app in the future.
