Using thermal cameras and AI, researchers can detect chronic illnesses by analyzing facial temperatures, with warmer cheeks indicating higher blood pressure and cooler noses linked to younger thermal ages. This technology could help in early disease detection and has shown that exercise may reduce thermal aging, offering new insights into health monitoring. Credit: SciTechDaily.
com Researchers have found that different facial temperatures correlate with chronic illnesses like diabetes and high blood pressure, and these can be detected using AI with thermal cameras. They highlight the potential of this technology for promoting healthy aging by using thermal facial imaging to predict a person’s health status and biological age. The study also found that regular physical activities like jumping rope can decrease one’s thermal age, suggesting a possible link between exercise and thermal signs of aging.
A colder nose and warmer cheeks may be a telltale sign of rising blood pressure. Researchers discovered that temperatures in different face regions are associated with various chronic illnesses, such as diabetes and high blood pressure. These temperature differences are not easily perceptible by one’s own touch but can instead be identified using specific AI-derived spatial temperature patterns that require a thermal camera and a data-trained model.
The results were published recently in the journal Cell Metabolism . With further research, doctors could one day use this simpl.