Lung Cancer Risk in Never-Smokers Predicted by AI Tool 'Sybil'

AI model predicts future lung cancer risk from a single low-dose chest CT scan

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference.

Lung cancer risk in never-smokers predicted by AI tool 'Sybil'

With lung cancer rates among non-smokers rising, especially young East Asian women, a new study released Monday is touting the promise of an artificial intelligence tool to accurately predict who's most at risk.

It is often thought that lung cancer is reserved for large smokers, the elderly or those living in a polluted environment. Yet, the reality is quite different: this silent disease strikes more and more young people, active people, and non-smokers. This is the case of Reyna Savage, 34, a dynamic mother of families and sports enthusiast, who would never have imagined being concerned with this disease. No history, no particular exposure, no unproac…

From lung cancer risk to response

The past decades have seen significant advances in cancer control, in particular in detecting cancers earlier with high performance screening machines such as magnetic resonance imaging; however, many of these technologies are not widely available in low-resource settings, as here at the Aga Khan Hospital in Kenya. grant 2025-05-20 - 16:27 From lung cancer risk to response Member focus 7min read Driving global impact Members Partners UICC and …

AI ‘Sybil’ predicts lung cancer risk from single LDCT scan

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT (LDCT) scan, according to new research published at the ATS 2025 International Conference.

Deep Learning Enables Lung Cancer Risk Prediction from a Single LDCT Scan

A revolutionary stride in lung cancer prediction was unveiled recently at the ATS 2025 International Conference held in San Francisco, as researchers presented a novel deep learning model capable of assessing future lung cancer risk with unprecedented accuracy from just a single low-dose computed tomography (LDCT) scan. This breakthrough, emblematic of the fusion between artificial intelligence and medical imaging, promises to reshape how lung c…