《人工智能辅助肺结节管理中国专家共识（2022年版）》
[Chinese Experts Consensus on Artificial Intelligence Assisted Management for Pulmonary Nodule (2022 Version)].
出版信息
Zhongguo Fei Ai Za Zhi. 2022 Apr 20;25(4):219-225. doi: 10.3779/j.issn.1009-3419.2022.102.08. Epub 2022 Mar 28.
Abstract
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. .
摘要
与对照组相比，低剂量计算机断层扫描（CT）用于肺癌筛查已被证明可降低筛查组的肺癌死亡率。CT扫描检测出的肺结节数量不断增加，显著增加了放射科医生解读扫描结果的工作量。人工智能（AI）有提高肺结节鉴别效率的潜力，并已在结节管理的初步研究中进行了测试。随着越来越多的人工智能产品商业化，由吴阶平医学基金会模拟医学部胸外科委员会共同努力组织了这份共识声明，以帮助临床医生应用人工智能辅助管理肺结节。
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