AI Tool Predicts Survival Chances of Cancer Patients from Facial Photos

The tool, developed by researchers at Mass General Brigham in the US, uses a model trained on over 40 million facial photos to estimate biological age and predict survival chances of cancer patients.

The tool, called FAHR-FaceAge, analyzes the face to estimate biological age, while FAHR-FaceSurvival predicts survival chances directly from the photo, without using biological age as an intermediate indicator.

The researchers found a link between estimated biological age and survival chances in cancer patients, with older-looking patients having a higher risk of death.