This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

A new AI tool called "Sybil" has proven strongly accurate at predicting whether a non-smoking patient will develop lung cancer based on the analysis of a single low-dose chest CT scan, according to a ...

For the first time, researchers have used machine learning – a type of artificial intelligence (AI) – to identify the most important drivers of cancer survival in nearly all the countries in the world ...