Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer
Leyuan Meng,
Ping Zhu,
Kaijian Xia
Abstract:Background and objectiveAccurately predicting the extent of lung tumor infiltration is crucial for improving patient survival and cure rates. This study aims to evaluate the application value of an improved CT index combined with serum biomarkers, obtained through an artificial intelligence recognition system analyzing CT features of pulmonary nodules, in early prediction of lung cancer infiltration using machine learning models.Patients and methodsA retrospective analysis was conducted on clinical data of 803… Show more
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