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AI Predicts Cancer Survival from Selfie, New Study Reveals
Sentiment: NeutralHigh Priority
What Happened?
Researchers at Mass General Brigham have developed an AI model that estimates biological age and cancer survival risk from facial photographs. The findings suggest potential for personalized cancer care, but further validation is needed.
Key points
- The AI model, named FAHR-Face, uses over 40 million facial images for training.
- It estimates biological age and predicts cancer survival outcomes from facial features.
- Patients with a facial age at least five years older than their actual age had a 21% higher risk of death.
- Smoking and heavy alcohol consumption were linked to appearing biologically older.
- The model is not ready for clinical use and requires further validation.
Key insights
- If validated, the AI model could enhance personalized treatment decisions for cancer patients.
- The tool may help identify patients needing closer health assessments before treatment.
- Privacy concerns regarding the use of facial photographs in healthcare must be addressed.
Why it matters
The study could lead to new methods for assessing cancer patients, potentially improving treatment planning.
Tags
Entities
Mass General Brigham· OrganizationThe Lancet Digital Health· EventIndia· Country
Source
India Today
