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Scientists at Massachusetts General Hospital have developed an artificial intelligence tool called FaceSurvival, capable of accurately analyzing facial images to identify cancer patients most at risk of death within a short period. Tests have shown that more than half of the patients classified as high risk passed away within 90 days, while the mortality rate in the lower-risk group did not exceed 2%. The tool relies on analyzing precise facial cues and is trained using over 40 million facial images and data from 34,000 patients. Its goal is to improve the accuracy of clinical predictions and assist doctors in making appropriate treatment decisions. The tool categorizes mortality risk with a high sensitivity, showing that those in the top risk quartile are over three times more likely to die than those in the lowest quartile. Additionally, results indicate that faces appearing older than their biological age increase the likelihood of death by 21%.
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