{"version":1,"type":"story","url":"https://digestai.news/story/opinion-ai-model-predicts-cancer-survival-from-selfies-but-its-usefuln","json":"https://digestai.news/story/opinion-ai-model-predicts-cancer-survival-from-selfies-but-its-usefuln.json","markdown":"https://digestai.news/story/opinion-ai-model-predicts-cancer-survival-from-selfies-but-its-usefuln.md","slug":"opinion-ai-model-predicts-cancer-survival-from-selfies-but-its-usefuln","headline":"Opinion: AI model predicts cancer survival from selfies, but its usefulness is uncertain","summary":"Researchers at Mass General Brigham have built a suite of AI tools called FAHR‑Face. The facial‑age estimator, FAHR‑FaceAge, was trained on more than 40 million facial images, while the survival predictor, FAHR‑FaceSurvival, used almost 35,000 photos of cancer patients. The models focus on facial regions historically linked to health, such as the forehead, wrinkles, and the area below the eyes.\n\nThe Lancet Digital Health paper reports that AI‑estimated facial age was significantly associated with survival in 18 of 28 cancer categories, but the association vanished for Black patients after adjusting for other factors. Dr Raymond Mak, a study author, notes the link to ancient observations of muscle wasting. Prof Miroslaw Bober cautions that the tool still needs testing against doctors’ judgments and across diverse hospitals and patient groups. The article’s author, Prof Devi Sridhar, warns that lighting, cosmetics, and anti‑ageing treatments could distort predictions, and argues that a selfie‑based estimate is far from a proven clinical prognostic tool.","keyPoints":["Researchers at Mass General Brigham trained FAHR‑Face on >40 million facial images and ~35,000 cancer patient photos.","AI‑estimated facial age correlated with survival in 18 of 28 cancer types, but not for Black patients after adjustment.","Authors say the tool still needs testing against doctors and across hospitals before clinical use."],"whyItMatters":"If reliable, facial‑analysis AI could add a non‑invasive prognostic tool for cancer, but bias and validation gaps risk mis‑use and inequitable care.","category":{"slug":"research","name":"Research","url":"https://digestai.news/category/research"},"entities":{"companies":["Mass General Brigham"],"models":["FAHR-Face","FAHR-FaceAge","FAHR-FaceSurvival"],"people":["Raymond Mak","Miroslaw Bober","Devi Sridhar"]},"firstPublishedAt":"2026-10-23T07:00:03Z","updatedAt":"2026-10-23T07:00:03Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"The Guardian AI","title":"Can AI really predict cancer survival better than a doctor? I have my doubts","url":"https://theguardian.com/commentisfree/2026/oct/23/ai-cancer-survival-doctor-selfie-health-research","publishedAt":"2026-10-23T07:00:03Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"AI Selfie Cancer Survival Prediction Debate","url":"https://digestai.news/thread/mass-general-brigham-s-ai-predicts-cancer-survival-from-a-selfie-study-suggests","storyCount":2},"cite":{"text":"Digest AI, \"Opinion: AI model predicts cancer survival from selfies, but its usefulness is uncertain\", 23 October 2026, https://digestai.news/story/opinion-ai-model-predicts-cancer-survival-from-selfies-but-its-usefuln","publisher":"Digest AI","title":"Opinion: AI model predicts cancer survival from selfies, but its usefulness is uncertain","datePublished":"2026-10-23T07:00:03Z","url":"https://digestai.news/story/opinion-ai-model-predicts-cancer-survival-from-selfies-but-its-usefuln"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}