Low-dose computed tomography (CT) for lung cancer screening has been proven to reduce lung cancer deaths in the screening group compared with the control group. The increasing number of pulmonary nodules being detected by CT scans significantly increase the workload of the radiologists for scan interpretation. Artificial intelligence (AI) has the potential to increase the efficiency of pulmonary nodule discrimination and has been tested in preliminary studies for nodule management. As more and more artificial AI products are commercialized, the consensus statement has been organized in a collaborative effort by Thoracic Surgery Committee, Department of Simulated Medicine, Wu Jieping Medical Foundation to aid clinicians in the application of AI-assisted management for pulmonary nodules. .【中文题目:人工智能在肺结节诊治中的应用专家共识(2022年版)】 【中文摘要:低剂量计算机断层扫描用于肺癌筛查已被证实可减低肺癌特异性死亡率,肺癌筛查计划的推广带来了肺结节检出率的显著提高,对这些结节的判断也明显加重影像学科工作负荷。人工智能(artificial intelligence, AI)在协助肺结节良恶性判读及制定个体化治疗方案上体现出的有效性已得到初步验证。随着越来越多的AI产品在肺结节领域进行应用,吴阶平医学基金会模拟医学部胸外科专委会牵头组织该领域专家,参考国内外最新文献、临床研究数据,在专家共识达成统一意见并制定本共识,为国内同行更好地应用AI诊治肺结节提供参考意见。 】 【中文关键词:肺结节;人工智能;专家共识】.