AI in Medicine News ・ 🔬 Research results (major journals)
EurekAlert! · 10/20 00:36 UTC
Mass General Brigham researchers developed FAHR-Face, a foundation AI model trained on more than 40 million facial photographs, and used it to create two tools that estimate biological age and predict survival outcomes in patients with cancer from a simple photo. The study found the model improved on the team's earlier FaceAge technology and remained robust across common photo variations, cosmetic procedures and makeup. It also found that lifestyle factors such as smoking and alcohol and drug use were associated with accelerated facial aging.