FAHR-Face, the AI that estimates cancer patients' mortality risk from a facial photo
An artificial intelligence system called FAHR-Face aims to predict mortality risk and estimate the biological age of cancer patients based solely on facial photographs. The base model was trained on more than 40 million face photos and then on 34,363 images of oncology patients, producing two models: FAHR-FaceAge and FAHR-FaceSurvival. Patients in the highest-risk quartile had a mortality risk 3.23 times higher than those in the lowest-risk quartile.
In 35 seconds
- FAHR-Face predicts mortality risk and biological age in oncology patients using only facial photos.
- It was trained on more than 40 million facial images and 34,363 photographs of cancer patients.
- The highest-risk quartile showed a mortality risk 3.23 times higher than the lowest; of 122 high-risk patients, 52.5% died within 90 days.
IASummary generated by artificial intelligence from a story by Xataka. It may contain errors: the original source prevails.




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