Advances in the multidimensional applications of artificial intelligence in pulmonary nodule management: From early detection to surgical decision support
- VernacularTitle:肺结节管理中人工智能多维应用：从早期检测到手术决策支持
- Author:
Zheng ZHOU
1
;
Junhan WU
1
;
Guojie LU
1
;
Guibin QIAO
1
Author Information
1. Department of Thoracic Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, P. R. China
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
pulmonary nodules;
multi-omics;
three-dimensional reconstruction;
perioperative management;
review
- From:
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery
2025;32(12):1786-1791
- CountryChina
- Language:Chinese
-
Abstract:
With the widespread adoption of lung cancer screening and growing public awareness, the detection rate of pulmonary nodules has increased substantially, posing new challenges for clinical management. Artificial intelligence (AI) has emerged as a powerful tool across the entire management spectrum of pulmonary nodules. Beyond improving detection sensitivity and consistency in chest radiographs and low-dose CT, AI has demonstrated promising applications in malignancy risk assessment, molecular subtype prediction, preoperative 3D planning, intraoperative navigation, and postoperative monitoring. This review summarizes recent advances in the application of AI to pulmonary nodule screening, longitudinal evaluation, pathology prediction, multi-omics integration, and perioperative management. It also discusses the technical characteristics, clinical performance, current limitations, and future prospects of various AI models. The continuous development of AI is reshaping the clinical pathway of pulmonary nodules toward more efficient and individualized care.
