Application and research progress of artificial intelligence in the assessment of subsolid nodules

VernacularTitle:人工智能技术在亚实性肺结节评估中的应用与研究进展
Author: Fei LI ¹ ; Zhen BAI ; Jin-Long LIU ; Dan-Yang SU ; Shen-Yu YANG ; Yuan-Bo MA ; Ya-Man LI ; Yu-Fang DU ; Xiao-Peng YANG
Author Information

1. 郑州大学第一附属医院放射科,河南郑州 450002
Keywords: artificial intelligence; pulmonary nodules; subsolid nodules
From: Medical Journal of Chinese People's Liberation Army 2025;50(10):1243-1249
CountryChina
Language:Chinese
Abstract: Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.