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.

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.