A combination of a thermal camera and artificial intelligence trained on data is used to determine diseases through thermal imaging of faces. The AI interprets the thermal patterns of the face to predict a person’s age and state of health. Researchers have found that temperature differences in different parts of the face can reveal other diseases, such as diabetes.
Chinese researchers led by Jing-Dong Han of Peking University explored whether facial temperatures could predict aging speed and health status. They used a hand-held thermal camera to record thermal readings of over 2,800 Chinese volunteers aged 21-88. The AI created by the researchers was able to predict a person’s “thermal age” quite accurately based on facial thermal images alone.
The researchers found that certain temperature changes in the face were associated with age and health conditions. For example, nasal temperatures decreased with age faster than other parts of the face, while temperatures around the eyes usually rose with age. The AI could also detect metabolic problems and elevated blood pressure based on facial temperature patterns.
A fitness test involving rope jumping for two weeks reduced the “thermal age” of participants by up to five years. The researchers are now exploring whether thermal imaging of the face could predict sleep disorders or cardiovascular diseases. Further testing on different population groups is needed to validate the accuracy and effectiveness of this approach in disease determination.
In conclusion, thermal imaging of faces using a combination of a thermal camera and artificial intelligence trained on data is an innovative approach in disease determination. It has shown promising results in predicting aging speed and health status, as well as detecting specific diseases such as diabetes and high blood pressure. Further research is needed to explore its potential applications in other areas such as sleep disorders or cardiovascular diseases.