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2 clusters · 26 sources · 3 days · First seen 6 days ago · Last updated 3 days ago

Mass General Brigham AI cancer survival research

Overview

Researchers at Mass General Brigham have developed an artificial intelligence system, utilizing a foundation model known as FAHR-Face, to estimate a cancer patient’s biological age and mortality risk from a single facial photograph. The study, published in The Lancet Digital Health, involved training the model on a dataset of over 40 million facial images across diverse ethnicities and ages.

The technology employs two specific tools: FAHR-FaceAge, which analyzes features like forehead creases, temples, and nasolabial folds to estimate biological age, and FAHR-FaceSurvival, which focuses on the nasal bridge and the area below the eyes to predict survival probability.

Clinical findings indicated that patients appearing at least five years older than their chronological age faced a 21% higher risk of death during a four-year follow-up, while those appearing five years younger showed a 17% lower risk. In testing, the survival model showed significant differentiation in risk levels, with 52.5% of high-risk patients dying within 90 days compared to 2% of the low-risk group. Researchers noted the tool’s performance remained consistent regardless of makeup or cosmetic interventions like Botox. The system is intended to function as a clinical decision-support tool to assist oncologists in assessing physical resilience before intensive treatments such as surgery or radiation.

Entities

Mass General Brigham · FAHR-Face · The Lancet Digital Health · Hugo Aerts · United States

Claims

What the coverage asserts, and how many sources carry each claim.

[● 3 SOURCES] Mass General Brigham developed an AI system to estimate biological age and predict cancer survival. cafebiz.vn · cafef.vn · tienphong.vn
[● 3 SOURCES] The AI can predict survival rates using only a single facial photograph. cafebiz.vn · cafef.vn · tienphong.vn
[● 3 SOURCES] The system was trained on more than 40 million facial images. cafebiz.vn · cafef.vn · tienphong.vn
[● 3 SOURCES] The research was published in the journal Lancet Digital Health. cafebiz.vn · cafef.vn · tienphong.vn
[● 3 SOURCES] FAHR-FaceSurvival predicts survival directly from facial images without using biological age. cafebiz.vn · cafef.vn · tienphong.vn

Timeline

3 days ago

[HEALTH] 12 sources
Mass General Brigham AI predicts cancer survival from facial photos
Mass General Brigham researchers developed AI tools, FAHR-FaceAge and FAHR-FaceSurvival, to predict cancer mortality risk and biological age from a single facial photograph.
6 days ago

[HEALTH] 14 sources
Mass General Brigham develops AI to predict cancer survival from facial photos
Mass General Brigham researchers developed an AI system that uses facial photos to estimate biological age and predict cancer survival probabilities, potentially aiding personalized oncology treatments.

Sources

agencia.unq.edu.ar · astratv.gr · bavaronews.com · cafebiz.vn · cafef.vn · desiblitz.com · e-radio.gr · economx.hu · ekriti.gr · geekweek.interia.pl · ibtimes.com.au · it-boltwise.de · kalamatatimes.gr · kenh14.vn · kosmo.at · lifo.gr · memeburn.com · nedeljnik.rs · news.yam.md · noticias24hrs.com.ve · noticiasdemalaga.es · odelalis.gr · stheadline.com · tienphong.vn · vizita.si · world-today-journal.com

This summary has been updated 1 time: see revision history