←Story detail

Trending story

The Lancet Digital Health publishes study on FAHR-Face facial prediction of cancer mortality risk

1 reports1 story updatesUpdated Oct 21 14:30

Understand this story

AI overview

On October 20, The Lancet Digital Health published a study introducing the FAHR-Face model, which uses only a single facial photograph to identify differences in mortality risk among cancer patients. The model was developed by Mass General Brigham in the United States. Among 3,820 cancer patients who did not participate in training, 64 of the 122 people rated by the model as extremely high risk died within 90 days of having their photograph taken; of the 975 people with scores between 0 and 0.1, only 20 died, a proportion of 2.1%. The study also conducted external validation using 4,892 patients at the Maastro radiotherapy center in the Netherlands and obtained similar results. However, the model cannot yet be used directly in clinical practice.

AI-generated from public reports

Latest development · Report

Mass General Brigham team publishes FAHR-Face study in The Lancet Digital Health, using facial photos to predict mortality risk in cancer patients

Developments

1 confirmed developments

  1. The Lancet Digital Health publishes FAHR-Face study on predicting cancer mortality risk from facial images

    Source:36Kr · AI

Reports and discussion timeline

Browse reports and discussion by time. Their evidence levels remain distinct.

Oct 21

  1. 36Kr · AI

    Mass General Brigham team publishes FAHR-Face study in The Lancet Digital Health, using facial photos to predict mortality risk in cancer patients

    The U.S. Mass General Brigham health care system developed the FAHR-Face model, which identifies differences in mortality risk among cancer patients using only a single facial photograph; the study was published on October 20 in The Lancet Digital Health. Among 3,820 cancer patients who did not participate in training, 64 of the 122 people rated by the model as extremely high risk died within 90 days after the photo was taken, while only 20 of the 975 people with scores between 0 and 0.1 died, a rate of 2.1%. The study also conducted external validation using 4,892 patients at the Maastro radiotherapy center in the Netherlands and obtained similar results, but the model cannot yet be used directly in clinical practice.

Related stories

  1. Related storiesResearch team develops AI tool that predicts cancer patient survival from a facial photo alone
  2. Related storiesMichal Irani's team presented the Universal brain encoder at the conference.
  3. Related storiesTsinghua and GigaAI propose the State World Models method of settling rules first and then rendering
  4. Related storiesNvidia releases Nemotron 3.5 Super VL and Bolt models