Machine Learning Algorithm Achieves 98% Disease Detection Accuracy Via Tongue Analysis

A new machine learning algorithm has been developed to diagnose diseases by analyzing the color of the human tongue. This method, rooted in traditional Chinese medicine, has shown 98% accuracy in identifying various conditions such as diabetes, stroke, and COVID-19. The algorithm was trained using thousands of tongue images and successfully matched tongue color with the correct diagnosis in nearly every case. This study highlights the potential of AI to revolutionize medical diagnostics.