Interpretation of Chinese experts consensus on artificial intelligence assisted management for pulmonary nodule (2022 version)

Yaobin Lin; Yongbin Lin; Zerui Zhao; Zhichao Lin; Long Jiang; Bin Zheng; Hu Liao; Wanpu Yan; Bin LI; Luming Wang; Hao Long

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Interpretation of Chinese experts consensus on artificial intelligence assisted management for pulmonary nodule (2022 version)

VernacularTitle:《人工智能在肺结节诊治中的应用专家共识（2022年版）》解读
Author: Yaobin LIN ¹ ; Yongbin LIN ¹ ; Zerui ZHAO ¹ ; Zhichao LIN ² ; Long JIANG ³ ; Bin ZHENG ⁴ ; Hu LIAO ⁵ ; Wanpu YAN ⁶ ; Bin LI ⁷ ; Luming WANG ⁸ ; Hao LONG ¹
Author Information

1. Department of Thoracic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, P. R. China
2. Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, P. R. China
3. Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai, 200030, P. R. China
4. Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, P. R. China
5. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China
6. Department of Thoracic Surgery, Peking University Cancer Hospital and Institute, Beijing, 100143, P. R. China
7. Department of Thoracic Surgery, The Second Affiliated Hospital of Lanzhou University, Lanzhou, 730030, P. R. China
8. Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, P. R. China
Publication Type:Journal Article
Keywords: Pulmonary nodule; artificial intelligence; expert consensus; interpretation
From: Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2023;30(05):665-671
CountryChina
Language:Chinese
Abstract: The increasing number of pulmonary nodules being detected by computed tomography scans significantly increase the workload of the radiologists for scan interpretation. Limitations of traditional methods for differential diagnosis of pulmonary nodules have been increasingly prominent. Artificial intelligence (AI) has the potential to increase the efficiency of discrimination and invasiveness classification for pulmonary nodules and lead to effective nodule management. Chinese Experts Consensus on Artificial Intelligence Assisted Management for Pulmonary Nodule (2022 Version) has been officially released recently. This article closely follows the context, significance, core implications, and the impact of future AI-assisted management on the diagnosis and treatment of pulmonary nodules. It is hoped that through our joint efforts, we can promote the standardization of management for pulmonary nodules and strive to improve the long-term survival and postoperative life quality of patients with lung cancer.