From Inc · · 50s
AI Tool Predicts Cancer Survival from Selfie
Mass General Brigham's AI analyzes selfies to estimate biological age and cancer survival likelihood.
In brief
Mass General Brigham's AI analyzes selfies to estimate biological age and cancer survival likelihood. An AI model developed by Mass General Brigham researchers predicts cancer patient survival rates using selfies, without replacing medical diagnosis. Originally reported by Inc.
AI Health Tool Launch
Mass General Brigham researchers created an AI model that estimates biological age and predicts cancer survival likelihood from selfies.
“Our goal is to make face photograph-based health assessment more quantitative, consistent and scalable so it can support personalized treatment decisions rather than replace physician judgment”
Tool Functions
The AI has two functions: estimating biological age and predicting cancer patient survival rates without replacing medical diagnosis.
“The tool is not meant for diagnosis or to replace a doctor, but researchers believe it has implications for longevity research”
Model Training
The AI model was trained on 40 million facial images and fine-tuned on 34,000 cancer patient images.
“One foundational AI model underpins both the biological age and cancer survival functionalities”
Lifestyle Impact
Smoking, alcohol and drug use correlate with advanced biological age, with current smokers appearing older than former smokers.
“Current smokers appeared older than former smokers, who appeared older than never smokers”
The takeaway
An AI model developed by Mass General Brigham researchers predicts cancer patient survival rates using selfies, without replacing medical diagnosis.
