人工智能在肺部肿瘤影像诊断中的研究进展

Application of artificial intelligence in lung tumor imaging diagnosis

肺癌的早期发现、精确诊断对于患者的预后至关重要。影像学能够无创、全面地反映肿瘤的异质性,在肺癌诊断中发挥重要作用。海量影像数据的深入挖掘是影像医师面临的巨大挑战。人工智能(artificial intelligence,AI)擅长处理大批量、高维度的信息,用算法解析数据,既可以自动提取定量特征,也可以自动学习现有数据,从而对新数据进行预测。AI在影像处理领域得到快速发展,在肺结节检出、肺癌诊断等方面显示出较大的优势和应用前景。将AI与临床工作相结合有助于精准医疗的实施。本文对近年来AI在肺部肿瘤影像诊断领域的研究现状和进展予以概述。

Early detection and accurate diagnosis are critical for the prognosis of lung cancer.Radiological imaging could reflect tumor heterogeneity in a non-invasive and comprehensive manner.Deep mining of high throughput imaging data is a big challenge for radiologists.Artificial intelligence(AI)methods excel at processing large quantities of high-dimensional information and analyzing data using algorithm.It can automatically recognize complex patterns in imaging data,provide quantitative assessments of radiographic characteristics,and is promising in tumor detection and diagnosis.Precision medicine could be made when AI was integrated into the clinical workflow as a tool to assist radiologists.Here we review the current progress and discuss the challenges and future directions of AI applications in lung tumor imaging diagnosis.