The Brigham Medical Center of Massachusetts General Hospital in the United States recently issued a communiqué saying that its researchers used more than 40 million facial images to train a basic artificial intelligence model and develop AI tools based on this to estimate people's biological age and predict the survival status of cancer patients. A related research paper was recently published in the British medical journal “The Lancet Digital Health”. This model is called FAHR-face, and its full name is the “Health Recognition AI Basic Model.” Based on this, the research team developed two tools: one to estimate the patient's biological age, and the other to directly predict the survival prognosis of cancer patients based on facial photographs.
Zhitongcaijing · 2d ago
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The Brigham Medical Center of Massachusetts General Hospital in the United States recently issued a communiqué saying that its researchers used more than 40 million facial images to train a basic artificial intelligence model and develop AI tools based on this to estimate people's biological age and predict the survival status of cancer patients. A related research paper was recently published in the British medical journal “The Lancet Digital Health”. This model is called FAHR-face, and its full name is the “Health Recognition AI Basic Model.” Based on this, the research team developed two tools: one to estimate the patient's biological age, and the other to directly predict the survival prognosis of cancer patients based on facial photographs.
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