AI model uses face photos to estimate biological age, predict survival risk in cancer patients
The FAHR-Face AI model estimates biological age and predicts survival risks for cancer patients using facial photographs. Developers trained the model on millions of images. It produces results with an average error of approximately five years. A separate model identified high-risk patients based on their appearance. This tool found significant differences in survival outcomes. Results were promising in the Netherlands and the US. The developers state that validation in other populations is still required.
A new AI model, FAHR-Face, estimates biological age and predicts cancer patient survival risk using facial photos. This model was trained on millions of images and showed an average error of about five years. Alongside this, another model identified high-risk cancer patients based on their appearance, highlighting significant survival differences. While results were promising in the US and Netherlands, further validation is needed in other populations.