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

Frontiers in Radiology (May 2022)

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

Affiliations

Yue Wang: Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
Haihua Cai: Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
Yongzhu Pu: Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
Jindan Li: Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
Fake Yang: Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
Conghui Yang: Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
Long Chen: Department of PET/CT Center, Cancer Center of Yunnan Province, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
Zhanli Hu: Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

DOI: https://doi.org/10.3389/fradi.2022.810731
Journal volume & issue: Vol. 2

Abstract

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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.

Published in Frontiers in Radiology

ISSN: 2673-8740 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine
Website: https://www.frontiersin.org/journals/radiology

About the journal

Abstract

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