Research in the application of artificial intelligence to lung cancer diagnosis

Wenjuan Liu; Nan Shen; Limin Zhang; Xiaoxi Wang; Bainan Chen; Zhuo Liu; Chao Yang

doi:10.3389/fmed.2024.1343485

Research in the application of artificial intelligence to lung cancer diagnosis

Front Med (Lausanne). 2024 Jan 30:11:1343485. doi: 10.3389/fmed.2024.1343485. eCollection 2024.

Authors

Wenjuan Liu¹, Nan Shen^#², Limin Zhang¹, Xiaoxi Wang³, Bainan Chen¹, Zhuo Liu¹, Chao Yang^#⁴

Affiliations

¹ Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
² Department of Nephrology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
³ Department of Clinical Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
⁴ Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

^# Contributed equally.

Abstract

The morbidity and mortality rates in lung cancer are high worldwide. Early diagnosis and personalized treatment are important to manage this public health issue. In recent years, artificial intelligence (AI) has played increasingly important roles in early screening, auxiliary diagnosis, and prognostic assessment. AI uses algorithms to extract quantitative feature information from high-volume and high-latitude data and learn existing data to predict disease outcomes. In this review, we describe the current uses of AI in lung cancer-focused pathomics, imageomics, and genomics applications.

Keywords: artificial intelligence; diagnosis; genomics applications; imageomics; lung cancer; pathomics.

Publication types

Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Natural Science Foundation of Liaoning Province, no.2022-B5-243 and the First Affiliated Hospital of Dalian Medical University, no.1912008.