Application value of the automated machine learning model based on modified CT index combined with serological indices in the early prediction of lung cancer.

Journal: Frontiers in public health
Published Date: Apr 5, 2024

Abstract

BACKGROUND AND OBJECTIVE: Accurately 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.

Authors

  • Leyuan Meng
    Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Jiangsu, Nantong, China.
  • Ping Zhu
    Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510100, China.
  • Kaijian Xia
    Intelligent Medical Technology Research Center, Changshu Hospital Affiliated to Soochow University, Changshu, China.

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