Revolutionary 1st AI Model Instantly Detects Diseases Through a Simple Tongue Photo
In Short:
New Delhi: Researchers from Iraq and Australia have developed an advanced Artificial intelligence model capable of diagnosing diseases by analyzing images of a person’s tongue. This innovative technology, developed through a collaboration between Middle Technical University (MTU) in Baghdad and the University of South Australia (UniSA), has shown a 98% accuracy rate in trials by analyzing tongue color and texture.
The Science Behind Tongue Diagnosis
The concept of diagnosing health conditions through tongue examination has roots in traditional Chinese medicine, where specific tongue colors and textures are linked to various ailments. For instance, a yellow tongue might indicate diabetes, while a purple tongue could signal cancer. Severe COVID-19 cases have been associated with a deep red tongue, and a white tongue may suggest anemia.
Training and Accuracy
The Artificial intelligence model was trained on a dataset of 5,260 tongue images, each labeled with corresponding medical conditions. This training allowed the AI to learn how to identify subtle differences in tongue characteristics that indicate specific health issues. To further validate its accuracy, this was tested on 60 tongue images from patients in the Middle East, successfully diagnosing most cases.
Future Applications and Challenges
Published in the journal Technologies, the study suggests that this advanced tongue analysis could become a secure, efficient, and user-friendly method for disease screening. Researchers envision integrating this technology into smartphone apps for instant health assessments. However, challenges remain, such as ensuring data privacy and addressing potential camera reflection issues.
Conclusion
This Artificial intelligence -driven approach to disease diagnosis offers a modern twist on an ancient practice, potentially revolutionizing how health screenings are conducted. As the technology advances, it could complement existing medical practices, providing a quick and accessible diagnostic tool.
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