AI Reveals Health Secrets Through Facial Temperature Mapping

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 simple and non-invasive approach for early detection of diseases.