AI Lung Cancer Risk Model Validated in Predominantly Black Population at Hospital

AI lung cancer risk model validated in predominantly Black population at hospital

A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) validates the use of Sybil, a deep learning artificial intelligence model, for predicting future lung cancer risk in a predominantly Black population.

Sybil AI Model Demonstrates Strong Performance in Predicting Lung Cancer Risk with Minimal Bias - ILCN.org (ILCN/WCLC)

Biological, environmental, and socioeconomic factors contribute to lung cancer risk across racial groups. However, current screening guidelines from the US Preventive Services Task Force (USPSTF) are based on age and pack-years of tobacco smoking exposure, which often contributes to disparities in early detection, particularly among Black patients. Despite having lower cumulative tobacco pack-years compared with white individuals, Black American…

Study Confirms Accuracy of AI Lung Cancer Risk Model Sybil in Predominantly

In a groundbreaking development presented at the prestigious International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) held in Barcelona, researchers have validated the predictive capabilities of Sybil, a sophisticated deep learning artificial intelligence model, within a largely Black patient population. This advancement marks a significant stride in addressing […]

AI lung cancer risk model validated in predominantly Black population at hospital – RamaOnHealthcare

A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) validates the use of Sybil, a deep learning artificial intelligence model, for predicting future lung cancer risk in a predominantly Black population.The study, conducted by the University of Illinois Hospital & Clinics, (UI Health), [...]