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AI predicts diseases with 98% accuracy in real-time using tongue color | AI-powered computer model to analyze patients’ tongue colors for real-time disease diagnoses such as anemia, COVID-19, vascular and gastrointestinal issues, or asthma.

AI analyzes tongue colors for real-time disease diagnoses such as anemia, COVID-19, vascular and gastrointestinal issues, or asthma.

Ali Al-Naji, senior author, MTU, and UniSA Adjunct associate professor, stated that AI is replicating a 2000-year-old practice widely used in traditional Chinese medicine – examining the tongue for signs of disease. These systems are – the naïve Bayes (NB), support vector machine (SVM), k-nearest neighbors (KNN), decision trees (DTs), random forest (RF), and Extreme Gradient Boost (XGBoost) methods, With my creative spirit and eye for detail, I've worked across the dynamic landscape of multimedia journalism and written about sports, lifestyle, art, culture, health and wellbeing at Further Magazine, Alt.Cardiff and The Hindu.

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