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 ...
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