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Review
. 2024 Jan 30:11:1343485.
doi: 10.3389/fmed.2024.1343485. eCollection 2024.

Research in the application of artificial intelligence to lung cancer diagnosis

Wenjuan Liu  1 , Nan Shen #  2 , Limin Zhang  1 , Xiaoxi Wang  3 , Bainan Chen  1 , Zhuo Liu  1 , Chao Yang #  4
Affiliations
Review

Research in the application of artificial intelligence to lung cancer diagnosis

Wenjuan Liu et al. Front Med (Lausanne). .

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.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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