Selfie can forecast cancer patient mortality
Researchers at the Massachusetts General Brigham Medical Institution in the United States have developed an AI-based tool that analyzes selfies of cancer patients' faces to estimate their risk of death. Tests showed that 64 out of 122 patients were classified in the highest risk category, with 90% of them passing away within 90 days. Meanwhile, 20 out of 975 patients in the lower risk group died. This technology represents a new method for assessing mortality risk among cancer patients based on facial features.
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