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AI Tool FaceAge Prepares for Broader Testing in Predicting Biological Age and Survival

Mass General Brigham's FaceAge algorithm advances clinical decision-making in oncology and gears up for a 50-patient pilot study while addressing ethical and regulatory challenges.

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Overview

  • FaceAge, an AI tool developed by Mass General Brigham, uses facial photographs to estimate biological age and predict survival outcomes, particularly in cancer patients.
  • The algorithm demonstrated that cancer patients appear, on average, five years older biologically than their chronological age, with older biological age correlating to worse survival outcomes.
  • In a study of 100 palliative care patients, FaceAge outperformed clinicians in predicting life expectancy, highlighting its potential as a clinical decision-making aid.
  • Researchers are set to enroll 50 patients in a new pilot study, with plans to expand testing to other diseases and general health applications beyond oncology.
  • Ongoing efforts focus on addressing demographic bias, ensuring data privacy, and preparing for FDA approval alongside ethical governance frameworks to guide its future use.