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AI Tool FaceAge Published in The Lancet, Enhances Cancer Prognostic Accuracy

Mass General Brigham's FaceAge uses facial photos to estimate biological age, improving clinicians' predictions of survival outcomes for cancer patients.

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Overview

  • FaceAge, a deep learning algorithm, analyzes facial photographs to estimate biological age and predict survival outcomes in cancer patients.
  • The tool was validated on 6,196 cancer patients and published in The Lancet Digital Health on May 8, 2025.
  • Cancer patients' biological age, as estimated by FaceAge, averaged five years older than their chronological age, correlating with worse survival outcomes.
  • Clinicians using FaceAge data significantly improved their short-term life expectancy predictions for palliative radiotherapy patients.
  • Researchers are expanding validation efforts to address biases and test the algorithm in broader clinical and real-world settings.