Medical researchers have developed an innovative artificial intelligence (AI) algorithm that can detect various health conditions with remarkable accuracy by analyzing the color of a person's tongue. This groundbreaking system, developed by Iraqi and Australian researchers, combines the ancient practice of tongue diagnosis from traditional Chinese medicine with modern machine learning techniques
The AI model was trained using 5,260 tongue images and tested on 60 additional images from patients with various health conditions. The system achieved an impressive accuracy rate of over 98% in diagnosing diseases based solely on tongue color analysis
How It Works
The AI algorithm examines the color, shape, and thickness of the tongue to identify a wide range of health conditions, including:
Diabetes (yellow tongue)
Anemia (white tongue)
Cancer (purple tongue with greasy coating)
Asthma (indigo or violet tongue)
COVID-19 (deep red tongue)
Stroke (unusually shaped red tongue)
Liver and gallbladder diseases
Vascular and gastrointestinal issues
Future Applications
Researchers are now working on developing a smartphone app that utilizes this technology, allowing people to perform predictive diagnostics at home. This computerized tongue analysis method is described as secure, efficient, user-friendly, and affordable
Implications for Healthcare
While this AI-powered tongue diagnosis system shows great promise, it's important to note that AI adoption in healthcare is still a topic of debate. A recent survey of NHS staff revealed that 75% support using AI for patient care, with 81% favoring its use for administrative tasks. However, patients were less enthusiastic, with only 54% supporting AI use in patient care
As AI continues to advance in healthcare, it has the potential to ease NHS pressures and support the workforce. However, concerns remain about its accuracy and impact on the interpersonal aspect of care could play a significant role in helping to ease NHS pressures and support the workforce.’
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