Application of artificial intelligence in lung cancer screening: A real-world study in a Chinese physical examination population.

Journal: Thoracic cancer
PMID: 39206529

Abstract

BACKGROUND: With the rapid increase of chest computed tomography (CT) images, the workload faced by radiologists has increased dramatically. It is undeniable that the use of artificial intelligence (AI) image-assisted diagnosis system in clinical treatment is a major trend in medical development. Therefore, in order to explore the value and diagnostic accuracy of the current AI system in clinical application, we aim to compare the detection and differentiation of benign and malignant pulmonary nodules between AI system and physicians, so as to provide a theoretical basis for clinical application.

Authors

  • Jiaxuan Wu
    School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110168, China.
  • Ruicen Li
    Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Jiadi Gan
    Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
  • Qian Zheng
    State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
  • Guoqing Wang
    Department of Pathogenobiology, Basic Medical College of Jilin University, Changchun, Jilin, 130012, People's Republic of China. qing@jlu.edu.cn.
  • Wenjuan Tao
    Institute of Hospital Management, West China Hospital, Sichuan University, Chengdu, China.
  • Ming Yang
    Wuhan Institute for Food and Cosmetic Control, Wuhan 430014, China.
  • Wenyu Li
    School of Marxism, Capital Normal University, Beijing, China.
  • Guiyi Ji
    Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, China.
  • Weimin Li
    Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.

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