Role of Artificial Intelligence-assisted Diagnosis and Treatment System in the
Change of Course of COVID-19 Patients
WANG Nana1a, LI Dasheng1a, WANG Dawei2, LI Jun1b, YU Weiwei1a, YU Weiyong3,4, CHEN Zhenbo3,4
1. a. Department of Radiology; b. Department of Infection, Beijing Haidian Hospital (Haidian Section of Peking University Third
Hospital), Beijing 100080, China; 2. Institute of Advanced Research, Infervision Medical Technology Co., Ltd., Beijing 100025, China;
3. School of Rehabilitation Medicine, Capital Medical University, Beijing 100068, China;
4. Department of Radiology, Beijing Boai Hospital, Beijing 100068, China
Abstract：Objective To dynamically evaluate the imaging performance of Corona Virus Disease (COVID-19) before and after
treatment by applicating CT image-based artificial intelligence (AI)-assisted diagnosis system, in order to provide reliable imaging
quantification for the precise diagnosis and treatment of COVID-19. Methods A total of 78 CT scan data and clinical data of 28
patients with confirmed COVID-19 retrospectively were collected and analyzed, contrasted the data including multiple CT scan
images and results of AI technology for auxiliary diagnosis system before and after treatments. Results For 28 patients with
COVID-19, there was no significant change in index of laboratory tests after an average of (10.50±3.60) d of clinical treatment
(P>0.05); the consistency between AI-assisted diagnosis and routine reading diagnosis was high (Kappa=0.708, P<0.05), the
diagnostic time was significantly reduced (2.77±0.90) min vs. (0.78±0.40) min (P<0.05), and its quantitative changes could be
evaluated (the mean CT value in the lung, the proportion of the whole lung infection volume and the whole lung infection volume).
There were statistically significant differences in early stage, advanced stage, and outcome stage (P<0.05). Conclusion The
combined application of CT+AI can be used as an efficient mode for current screening of COVID-19. CT+AI can provide important
information in clinical diagnosis and treatment.
王娜娜1a，李大胜1a，王大为2，李珺1b，于巍伟1a，于卫永3,4，陈振波3,4. 人工智能辅助诊断系统在COVID-19患者病程变化中的诊疗作用[J]. 中国医疗设备, 2022, 37(8): 37-41.
WANG Nana1a, LI Dasheng1a, WANG Dawei2, LI Jun1b, YU Weiwei1a, YU Weiyong3,4, CHEN Zhenbo3,4. Role of Artificial Intelligence-assisted Diagnosis and Treatment System in the
Change of Course of COVID-19 Patients. China Medical Devices, 2022, 37(8): 37-41.
