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Research progress of radiomics and artificial intelligence in lung cancer

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Abstract

In recent years, the incidence of respiratory diseases has remained high due to environmental pollution, smoking and the ageing population. The incidence and mortality of lung cancer in China was the highest globally. Thus, early diagnosis and treatment is the key to lung cancer prevention and treatment. Radiomics and artificial intelligence have been successfully and widely used in lung cancer detection, differential diagnosis and efficacy evaluation, providing support for personalised patient treatment. In this paper, we reviewed the research progress of radiomics and artificial intelligence in lung cancer diagnosis and treatment.

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Data availability

The data sets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Funding

The National Natural Science Foundation of China [82001812, 81871321, 81930049, 82171926]; Shanghai Science and Technology Commission (Grant number 19411951300); National Key R&D Program of China [2022YFC2010000, 2022YFC2010002]; Medical imaging database construction programme of National Health Commission [YXFSC2022JJSJ002]; the clinical Innovative Project of Shanghai Changzheng Hospital [2020YLCYJ-Y24]; the programme of Science and Technology Commission of Shanghai Municipality [21DZ2202600].

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  1. Xiang Wang and Wenjun Huang are primary authors and contributed equally.

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  1. Department of Radiology, Changzheng Hospital, Naval Medical University, Shanghai, 200003, China

    Xiang Wang, Jingyi Zhao, Shaochun Xu, Song Chen, Man Gao & Li Fan

  2. Department of Radiology, The Second People’s hospital of Deyang, Sichuan Province, Deyang, 618000, China

    Wenjun Huang

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Wang, X., Huang, W., Zhao, J. et al. Research progress of radiomics and artificial intelligence in lung cancer. Chin J Acad Radiol 6, 91–99 (2023). https://doi.org/10.1007/s42058-023-00122-z

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