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AI Tool Predicts Cancer Survival From Photo
20 Oct
Summary
- AI tool analyzes facial features to predict cancer survival.
- Facial biological age is linked to worse survival outcomes.
- Smokers' faces appear older, but quitting reverses aging signs.
A groundbreaking AI tool named FaceAge, developed by Mass General Brigham, is now capable of determining a person's cancer survival outlook and biological age using just a single photograph. This advanced deep-learning system analyzes subtle facial features such as skin texture, wrinkles, and bone structure. It has been trained on data from over 58,000 healthy individuals and nearly 6,200 cancer patients.
The findings indicate that cancer patients often appear biologically older than their actual age, with an average difference of five years. Significantly, individuals whose facial age is notably higher than their chronological age tend to exhibit poorer survival rates. This AI-driven health assessment offers a quantitative and scalable method to support physicians in making personalized treatment decisions.
Additionally, the study revealed that lifestyle factors impact facial aging. Current smokers, on average, appear three years older than their chronological age. However, the research also suggests that the effects of smoking on facial appearance are reversible, as former smokers showed no significant difference in facial aging compared to never-smokers.
