Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective

被引：146

作者：

Huang, Shigao ^{[1
]}

Yang, Jie ^{[2
]}

Shen, Na ^{[3
]}

Xu, Qingsong ^{[6
]}

Zhao, Qi ^{[4
,5
]}

机构：

[1] Air Force Med Univ, Affiliated Hosp 1, Dept Radiat Oncol, Xian, Shanxi, Peoples R China

[2] Chongqing Ind &Trade Polytech, Chongqing, Peoples R China

[3] Hong Kong Shue Yan Univ, Hong Kong, Peoples R China

[4] Univ Macau, Inst Translat Med, Fac Hlth Sci, Canc Ctr, Taipa, Macao, Peoples R China

[5] Univ Macau, MoE Frontiers Sci Ctr Precis Oncol, Taipa, Macao, Peoples R China

[6] Univ Macau, Fac Sci & Technol, Taipa, Macao, Peoples R China

来源：

SEMINARS IN CANCER BIOLOGY | 2023年 / 89卷

关键词：

Artificial intelligence; Lung cancer diagnosis; Natural language processing; Machine learning and deep learning; Precision oncology; IMAGE-DATABASE-CONSORTIUM; PULMONARY NODULES; CT IMAGES; CLASSIFICATION; RADIOMICS; THERAPIES; LIDC; 1ST;

D O I：

10.1016/j.semcancer.2023.01.006

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Lung cancer is one of the malignant tumors with the highest incidence and mortality in the world. The overall five-year survival rate of lung cancer is relatively lower than many leading cancers. Early diagnosis and prognosis of lung cancer are essential to improve the patient's survival rate. With artificial intelligence (AI) approaches widely applied in lung cancer, early diagnosis and prediction have achieved excellent performance in recent years. This review summarizes various types of AI algorithm applications in lung cancer, including natural language processing (NLP), machine learning and deep learning, and reinforcement learning. In addition, we provides evidence regarding the application of AI in lung cancer diagnostic and clinical prognosis. This review aims to elucidate the value of AI in lung cancer diagnosis and prognosis as the novel screening decision-making for the precise treatment of lung cancer patients.

引用

页码：30 / 37

页数：8

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