[Application Practice of AI Empowering Post-discharge Specialized Disease Management in Postoperative Rehabilitation of the Lung Cancer Patients Undergoing Surgery].

Journal: Zhongguo fei ai za zhi = Chinese journal of lung cancer
PMID: 40210477

Abstract

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare.

Authors

  • Mei Li
    Department of Laboratory Medicine, Med+X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Hongbing Zhang
    Department of Neurosurgery, Beijing Luhe Hospital, Capital Medical University, 101149, Beijing, China. hongbingzh2016@hotmail.com.
  • Chunqiu Xia
    Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China.
  • Yuqi Zhang
    State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China.
  • Huihui Ji
    Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Yi Shi
    College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, People's Republic of China.
  • Liran Duan
    Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Lingyu Guo
    Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Jinghao Liu
    Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin 300052, China.
  • Xin Li
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Ming Dong
    Department of Computer Science, Wayne State University.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.

Keywords

External Resources

Popular Topics
Recent Journals