Lung cancer is one of the most leading causes of death throughout the world, and there is an urgent requirement for the precision medical management of it. Artificial intelligence (AI) consisting of numerous advanced techniques has been widely applied in the field of medical care. Meanwhile, radiomics based on traditional machine learning also does a great job in mining information through medical images. With the integration of AI and radiomics, great progress has been made in the early diagnosis, specific characterization, and prognosis of lung cancer, which has aroused attention all over the world. In this study, we give a brief review of the current application of AI and radiomics for precision medical management in lung cancer.
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CITATION STYLE
Zhou, Y., Xu, X., Song, L., Wang, C., Guo, J., Yi, Z., & Li, W. (2020). The application of artificial intelligence and radiomics in lung cancer. Precision Clinical Medicine. Oxford University Press. https://doi.org/10.1093/PCMEDI/PBAA028