Research progress and application of artificial intelligence technology in lung cancer diagnosis
Li Yuepeng,
Luo Wenxin,
Wang Zhoufeng,
Li Weimin
Affiliations
Li Yuepeng
Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
Luo Wenxin
Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
Wang Zhoufeng
Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
Li Weimin
Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
The use of artificial intelligence in the medical field has become increasingly widespread, particularly in the diagnosis of lung cancer. Early and accurate diagnosis of lung cancer is crucial for effective treatment and improved survival rates. AI technology has been shown to aid doctors in diagnosing lung cancer with greater precision, thereby improving accuracy and efficiency. This paper provides a detailed overview of the research progress of AI technology in lung cancer diagnosis, covering various aspects such as lung cancer screening, imaging diagnosis, gene mutation detection, blood tumour marker detection, and pathology detection. However, the use of AI in diagnosing lung cancer still presents challenges and requires further research and improvement.
