Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective.

Journal: Seminars in cancer biology
Published Date: Jan 20, 2023

Abstract

Lung cancer is one of the malignant tumors with the highest incidence and mortality in the world. The overall five-year survival rate of lung cancer is relatively lower than many leading cancers. Early diagnosis and prognosis of lung cancer are essential to improve the patient's survival rate. With artificial intelligence (AI) approaches widely applied in lung cancer, early diagnosis and prediction have achieved excellent performance in recent years. This review summarizes various types of AI algorithm applications in lung cancer, including natural language processing (NLP), machine learning and deep learning, and reinforcement learning. In addition, we provides evidence regarding the application of AI in lung cancer diagnostic and clinical prognosis. This review aims to elucidate the value of AI in lung cancer diagnosis and prognosis as the novel screening decision-making for the precise treatment of lung cancer patients.

Authors

  • Shigao Huang
    Cancer Center, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, Macao, China.
  • Jie Yang
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.
  • Na Shen
    Hong Kong Shue Yan University, Hong Kong, China.
  • Qingsong Xu
    Department of Electromechanical Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau 999078, China.
  • Qi Zhao

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