The outbreak of the new type of coronavirus pneumonia (COVID-19) has caused a huge impact on the world. In this case, only by adhering to the prevention and control methods of early diagnosis, early isolation, and early treatment, can the spread of the virus be prevented to the greatest extent. This article uses artificial intelligence–assisted medical imaging diagnosis as the research object, combines artificial intelligence and CT medical imaging diagnosis, introduces an intelligent COVID-19 detection system, and uses it to achieve COVID-19 disease screening and lesion evaluation. CT examination has the advantages of fast speed and high accuracy, which can provide a favorable basis for clinical diagnosis. This article collected 32 lung CT scan images of patients with confirmed COVID-19. Two professional radiologists analyzed the CT images using traditional imaging diagnostic methods and artificial intelligence–assisted imaging diagnostic methods, and the comparison showed the gap between the two methods. According to experiments, CT imaging diagnosis assisted by artificial intelligence only takes 0.744 min on average, which can save a lot of time and cost compared with the average time of 3.623 min for conventional diagnosis. In terms of comprehensive test accuracy, it can be concluded that the combination of artificial intelligence and imaging diagnosis has extremely high application value in COVID-19 diagnosis.

新型冠状病毒肺炎（COVID-19）的爆发给世界造成了巨大影响。在这种情况下，只有坚持早诊断、早隔离、早治疗的防控方法，才能最大程度地阻止病毒的传播。本文以人工智能辅助医学影像诊断为研究对象，将人工智能与CT医学影像诊断相结合，介绍一种智能COVID-19检测系统，并利用其实现COVID-19疾病筛查和病灶评估。CT检查具有速度快、准确率高的优点，可为临床诊断提供有利的依据。本文收集了 32 幅确诊 COVID-19 患者的肺部 CT 扫描图像。两位专业放射科医生对传统影像诊断方法和人工智能辅助影像诊断方法的CT图像进行了分析，比较显示了两种方法之间的差距。根据实验，人工智能辅助的CT影像诊断平均只需0.744分钟，与常规诊断的平均时间3.623分钟相比，可以节省大量时间和成本。从综合测试准确率来看，可以得出人工智能与影像诊断相结合在COVID-19诊断中具有极高的应用价值。