Researchers have unveiled an innovative AI tool capable of predicting cancer patients' survival rates by analyzing a single facial photo. This tool proves particularly valuable in aiding doctors to devise treatment strategies, especially in scenarios where medical data is scarce. The model has undergone extensive training using over 40 million facial images from more than 30,000 cancer patients. It can accurately estimate a patient's age and assign a risk score, thereby classifying patients into high- and low-risk categories. This versatile tool is applicable across various demographics, including different ages, ethnicities, genders, and cancer types. Patients who receive the highest scores face a greater likelihood of mortality within 90 days, marking a pioneering achievement in this field of research. Studies reveal that during the assessment process, the algorithm primarily focuses on the bridge of the nose and the region beneath the eyes—areas that have long been recognized as significant in medical diagnostics. Presently, the tool remains in the experimental phase and has not yet been implemented in clinical settings, necessitating further validation. Looking ahead, it is envisioned to serve merely as a supplementary reference for doctors, without imposing any constraints on patient treatment decisions.