Analyzing multiple photos from across a patient’s course of treatment with AI may be an even better predictor of survival than a single photo alone, a new Mass General Brigham study found.
Researchers behind FaceAge, which uses AI to forecast a person’s biological age, analyzed two photographs from each of 2,279 patients with cancer, taken at different time points during care, according to the April 28 study in Nature Communications.
“Deriving a Face Aging Rate from multiple, routine facial photographs allows for near real-time tracking of an individual’s health,” said co-senior and corresponding author Raymond Mak, MD, a radiation oncologist and faculty member in the AI in Medicine program at Somerville, Mass.-based Mass General Brigham, in a news release. “Our study suggests that measuring FaceAge over time may refine personalized treatment planning, improve patient counseling, and help guide the frequency and intensity of follow-up in oncology.”
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