A new 'tongue test system' has recently been developed to help diagnose diseases in remote parts of India.
Karthik Ramamurthy of the Department of Information Technology, Rajalakshmi Engineering College, in Chennai, and colleagues, have trained a neural network that can take soft inputs such as standard questions about symptoms and a digitised image of the patient's tongue and offer a likely diagnosis so that professional healthcare might then be sought for people in remote areas who do not have ready access to a physician.
The digitised images of the patient's tongue reveal discolouration, engorgement, texture and other factors that might be linked to illness. Smoothness and "beefiness" might reveal vitamin B12, iron, or folate deficiency, and anemia. Black discolouration could be indicative of fungal overgrowth in HIV patients or prolonged antibiotic use. Longitudinal furrows on the tongue are associated with syphilis. Ulcers might indicate the presence of Crohn's disease or colitis and various other conditions.
The team's automated diagnostic, however, utilises the condition of the tongue in combination with other symptoms to identify whether a patient has any of the various illnesses: common cold, flu, bronchitis, streptococcal throat infection, sinusitis, allergies, asthma, pulmonary edema, food poisoning and diverticulitis.
The current system allows diagnosis of 14 distinct conditions but the team added that they will be able to add eye images and use those as an additional hard input for their neural network and so extend its repertoire significantly.
The research is published in the International Journal of Biomedical Engineering and Technology.
