Citations
Methodology and science behind The AI Tongue Scanner App
Supported by medical research:
Medical research supports the notion that various health conditions can be inferred from the appearance of the human tongue, including its color, texture, and presence of specific features. This concept is rooted in both traditional practices and modern medical studies.
https://www.health.harvard.edu/blog/what-color-is-your-tongue-whats-healthy-whats-not-202309132973Traditional Diagnostic Practices:
In Traditional Chinese Medicine (TCM), tongue examination is a fundamental diagnostic tool. Practitioners assess the tongue's color, shape, and coating to gain insights into a patient's health. For instance, a pale tongue might suggest blood deficiency, while a red tongue could indicate heat in the body. A study published in Scientific Reports highlights the value of tongue diagnosis in TCM, noting its non-invasive nature and clinical utility.
https://www.nature.com/articles/srep00936Limitations of traditional tongue diagnosis and advantage of machine learning diagnosis:
However, traditional tongue diagnosis has limitations, as the process may be subjective and inconsistent. Hence, computer-aided tongue diagnoses have a great potential to provide more consistent and objective health assessments.
https://pubmed.ncbi.nlm.nih.gov/37724302/Citations
Say Ahh To AI: How The Tongue Can Reveal Hidden Health Issues
https://www.forbes.com/sites/moorinsights/2024/09/04/say-ahh-to-ai-how-the-tongue-can-reveal-hidden-health-issues/AI model 98% accurate in detecting diseases — just by looking at your tongue!
https://nypost.com/2024/08/13/health/ai-model-98-accurate-in-detecting-diseases-just-by-looking-at-your-tongue/Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue
https://www.sciencedirect.com/science/article/pii/S2001037020300325Advances in Automated Tongue Diagnosis Techniques
https://pubmed.ncbi.nlm.nih.gov/30949431/How AI Tongue Scanners Are Revolutionizing Disease Detection
https://medium.com/@infocean.info/how-ai-tongue-scanners-are-revolutionizing-disease-detection-bffdf4827d1cAI tongue scanner can diagnose illnesses with 96 percent accuracy
https://www.popsci.com/technology/ai-tongue-scanner/Biology of the Tongue Coating and Its Value in Disease Diagnosis
https://pubmed.ncbi.nlm.nih.gov/28957816/
Modern Medical Research:
Contemporary studies have explored the relationship between tongue characteristics and systemic diseases:
Chronic Kidney Disease (CKD): Research utilizing an automatic tongue diagnosis system found correlations between specific tongue features and the severity of CKD. This suggests that tongue analysis could aid in assessing disease progression.
https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1443646/fullOral Cancer Detection: Advancements in artificial intelligence have led to the development of models capable of analyzing tongue images to detect precancerous lesions. One study reported a 98% accuracy rate in identifying such conditions, underscoring the potential of tongue examination in early cancer diagnosis.
https://nypost.com/2024/08/13/health/ai-model-98-accurate-in-detecting-diseases-just-by-looking-at-your-tongue/Systemic Diseases: Certain systemic conditions manifest observable changes in the tongue. For example, a "hairy" tongue may indicate Epstein-Barr virus infection, commonly seen in individuals with compromised immune systems. Vitamin deficiencies, such as those in iron, folate, and vitamin B12, can cause the tongue to appear beefy red and feel sore.
https://en.wikipedia.org/wiki/Oral_manifestations_of_systemic_disease
Technological Integration:
The integration of technology in tongue diagnosis has enhanced its accuracy and applicability:
Deep Learning Models: Researchers have developed deep learning models to analyze tongue images for early detection of oral cancers. These models have demonstrated high accuracy, suggesting a promising tool for non-invasive screening.
https://arxiv.org/abs/1909.08987Automatic Tongue Diagnosis Systems (ATDS): ATDS capture tongue images non-invasively and provide objective diagnostic information, facilitating the assessment of diseases like CKD.
https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1443646/full
In summary, both traditional practices and modern research support the use of tongue examination as a valuable tool in diagnosing various health conditions. The tongue's appearance can reflect systemic health issues, and technological advancements are further enhancing the precision and applicability of this diagnostic method.
Disclaimer: This app is not intended to diagnose, treat, or replace professional medical advice, diagnosis, or treatment. The results and insights provided by the AI are for informational purposes only and should not be used as a substitute for consulting with a qualified healthcare provider. Always seek the advice of your physician or other qualified health professional with any questions you may have regarding a medical condition.