The value of AI in the Diagnosis, Treatment, and Prognosis of Malignant Lung Cancer

Yue Wang; Haihua Cai; Yongzhu Pu; Jindan Li; Fake Yang; Conghui Yang; Long Chen; Zhanli Hu

doi:10.3389/fradi.2022.810731

The value of AI in the Diagnosis, Treatment, and Prognosis of Malignant Lung Cancer

Front Radiol. 2022 May 6:2:810731. doi: 10.3389/fradi.2022.810731. eCollection 2022.

Authors

Yue Wang¹, Haihua Cai², Yongzhu Pu¹, Jindan Li¹, Fake Yang¹, Conghui Yang¹, Long Chen¹, Zhanli Hu²

Affiliations

¹ Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
² Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

Abstract

Malignant tumors is a serious public health threat. Among them, lung cancer, which has the highest fatality rate globally, has significantly endangered human health. With the development of artificial intelligence (AI) and its integration with medicine, AI research in malignant lung tumors has become critical. This article reviews the value of CAD, computer neural network deep learning, radiomics, molecular biomarkers, and digital pathology for the diagnosis, treatment, and prognosis of malignant lung tumors.

Keywords: AI; CAD; deep learning; lung cancer; radiomics.

Publication types

Review