Progress in the application of artificial intelligence-based imaging in the diagnosis and treatment of lung cancer
RAN Shanshan
CHEN Jiaqing
LUO Chaofen
WANG Siqi
Abstract：Early diagnosis and treatment of lung cancer are conducive to improve patient survival rates.Radiomics enables the extraction and quantitative analysis of textural features from images such as CT,MRI,and PET/CT.When combined with artificial intelligence(AI)technologies,including machine learning and deep learning,radiomics can provide robust support for the clinical management of lung cancer.This review summarizes the advancements in AI-driven radiomics for diagnosing the benign or malignant nature of lung nodules,tumor typing and staging,predicting genetic mutation status,and assessing treatment outcomes and prognosis.
Keywords：Artificial intelligenceRadiomicsLung cancerTomographyX-ray computedMagnetic resonance imagingPositron emission tomography
Publication Date：2024-05-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 294-299 )