System can estimate a person's biological age and predict survival outcomes. It was custom-built by mass general brham, a nonprofit, academic healthcare system in Massachusetts. The system was trained on data from over 40 million facial photographs.
Each algorithm relied on different parts of the face to make predictions of age and mortality risk. The study focuses on the region below the eyes, the forehead area above the eye sockets and the temples. People who looked five or more years older had 21% higher risk of dying.
Tool could help doctors predict risk of death or complications after surgery or other treatments for cancer. Researchers found lifestyle factors were linked with facial ageing.
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