Multidimensional modeling and stratification of nutritional risk in non-small cell lung cancer based on artificial intelligence–derived CT body composition phenotypes
Objective To develop and temporally validate a multidimensional nutritional risk model integrating artificial intelligence (AI)–derived CT body composition phenotypes for patients with non-small cell lung cancer (NSCLC). Methods This single-center retrospective cohort included 656 patients with pathologically confirmed...