Application prospects of artificial intelligence in the diagnosis and treatment of pulmonary nodules

doi:10.3877/cma.j.issn.2095-8773.2026.01.07

Abstract

Abstract:

The early diagnosis and treatment of pulmonary nodules still faces technical challenges, such as imaging misdiagnosis, inaccurate localization, and difficulties in postoperative evaluation. The application of artificial intelligence (AI) in preoperative assessment, intraoperative navigation, and postoperative monitoring has gradually provided new solutions to address these issues. Preoperatively, AI models significantly improve the accuracy of nodule recognition and risk stratification; intraoperatively, through the integration of virtual reality, augmented reality, and robot-assisted surgery techniques, AI enhances surgical planning and operative stability; postoperatively, AI-based predictive models enable dynamic assessment of complications and the risk of recurrence, promoting the development of personalized rehabilitation strategies. This review summarizes the latest advances in AI applications in pulmonary nodule surgery, aiming to provide insights for the integration of future technological advancements with clinical practice.

Key words: Artificial intelligence, Pulmonary nodules, Video-assisted thoracoscopic surgery

Haonan Du, Guangjian Zhang, Jiawei Wang, Ting Liang, Ruiyang Suo, Jia Zhang. Application prospects of artificial intelligence in the diagnosis and treatment of pulmonary nodules[J]. Chinese Journal of Thoracic Surgery(Electronic Edition), 2026, 13(01): 64-73.

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