Increasing interest in the field of metabolic disorders and increase in related diseases has resulted in a demand for diagnostic procedures free from risk which can be used for screening purposes to decide which cases should be further investigated. Thermography, which combines a high degree of accuracy with complete safety, meets the need. Thermography involves the detection of heat energy by an infrared-sensitive device, with subsequent conversion to electrical energy, amplification, and a suitable means of display. As the heat emitted from the skin which has an emissivity of 0.98 is related to blood flow. Measurement of the heat emission gives a measure of blood flow. Our non-invasive, non-contact method of infrared thermal imaging is a new diagnostic modality for diagnosing Type 2 Diabetes, Hypertension and Dyslipidaemia. This imaging technique works on the principle of identification of temperature variations and patterns in the region of interest. The AI-based software uses imaging techniques to calculate the observed variance percentage, which works as a biomarker to identify the above-mentioned medical conditions. These biomarkers, based on severity, are indicative of arteriosclerosis/ atherosclerosis or changes in hemodynamics. The observed variance percentage is an indicative metric to identify the severity of the disease/medical condition.
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Type 2 Diabetes and Hypertension are the reasons for the top seven diseases of deaths worldwide, and these can be prevented. Educating users about prevention methods and encouraging them for regular checkups should be the number one goal for health facilities. If you are a researcher or a research institute working on metabolic disorders related research and interested to know more about our technology or would like to collaborate, please contact us at firstname.lastname@example.org