Progress and challenges of artificial intelligence in lung cancer clinical translation.

Journal: NPJ precision oncology
Published Date: Jul 1, 2025

Abstract

Artificial intelligence (AI) algorithms, such as convolutional neural networks and transformers, have significantly impacted cancer care. For lung cancer, AI holds great potential in addressing smoking cessation, personalized screening, and imaging genomics. And these data could be incorporated to optimize treatment selection. This review highlights the transformative impact of AI in lung cancer management, discusses crucial barriers such as model bias and fairness, and outlines future directions for clinical application.

Authors

  • Erjia Zhu
    Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Amgad Muneer
    Computer and Information Sciences Department, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Malaysia.
  • Jianjun Zhang
    Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Yang Xia
    The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
  • Xiaomeng Li
  • Caicun Zhou
    Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
  • John V Heymach
    Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Jia Wu
  • Xiuning Le
    Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Keywords

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