Application of Artificial Intelligence-Assisted Diagnostic System in Diagnosis and Treatment
of Coronavirus Disease 2019
WANG Nana1
, WANG Dawei2
, LI Dasheng1
, YU Weiyong3,4, TIAN Song2
, YU Weiwei1
1. Department of Radiology, Beijing Haidian Hospital (Haidian Section of Peking University Third Hospital), Beijing 100080, China;
2. Institute of Advanced Research, Beijing Infervision Technology Co., Ltd, Beijing 100025, China; 3. School of Rehabilitation
Medicine, Capital Medical University, Beijing 100068, China; 4. Department of Radiology, Beijing Bo’ai Hospital,
China Rehabilitation Research Center, Beijing 100068, China
Abstract：Objective To explore the application value of artificial intelligence (AI)-assisted diagnostic system based on CT images
in the diagnosis and treatment of coronavirus diseases 2019 (COVID-19). Methods A total of 29 confirmed COVID-19 patients
with 44 chest CT scans were retrospectively collected and analyzed in this study. Two senior radiologists evaluated CT images with
or without the assistant of AI diagnostic system. The detection efficiency of infected lung lobes and the reading time were compared
between the two methods. The AI diagnostic system was then used to quantitatively measure the infected volume in both lungs,
and the correlation between the quantitative analysis results and the disease progress was explored. Results The detection rate of
pulmonary lobes in AI diagnosis system was higher than that in the conventional diagnosis method (128 vs. 102), and the diagnosis
time was significantly reduced [(0.67±0.56) min vs. (3.18±2.03) min] (P<0.05). There were significant differences in the proportion
of the volume of the infected area (whole lung, right upper lobe, right lower lobe, left upper lobe, left lower lobe) and the distribution
of the CT value (>60 HU, -270~30 HU) between the groups in the early stage, progressive stage and radiologic transition stage of
COVID-19 (P<0.05). Conclusion The AI-assisted diagnostic system can efficiently assist the diagnosis and quantitative assessment
of COVID-19 lesions, which provides a great help in assessing the disease process.
王娜娜1
，王大为2
，李大胜1
，于卫永3,4，田凇2
，于巍伟1. 人工智能辅助诊疗系统在新型冠状病毒肺炎诊疗中的应用初探[J]. 中国医疗设备, 2020, 35(6): 75-79.
WANG Nana1
, WANG Dawei2
, LI Dasheng1
, YU Weiyong3,4, TIAN Song2
, YU Weiwei1. Application of Artificial Intelligence-Assisted Diagnostic System in Diagnosis and Treatment
of Coronavirus Disease 2019. China Medical Devices, 2020, 35(6): 75-79.
