Selected article for: "clinical deployment and training model"
Author: Shuo Jin; Bo Wang; Haibo Xu; Chuan Luo; Lai Wei; Wei Zhao; Xuexue Hou; Wenshuo Ma; Zhengqing Xu; Zhuozhao Zheng; Wenbo Sun; Lan Lan; Wei Zhang; Xiangdong Mu; Chenxi Shi; Zhongxiao Wang; Jihae Lee; Zijian Jin; Minggui Lin; Hongbo Jin; Liang Zhang; Jun Guo; Benqi Zhao; Zhizhong Ren; Shuhao Wang; Zheng You; Jiahong Dong; Xinghuan Wang; Jianming Wang; Wei Xu
Title: AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks
  • Document date: 2020_3_23
    • ID: e6q92shw_9
    Snippet: Building a practical AI for epidemic response is different from typical AI diagnostic systems for the following reasons: 1) We need to build the system in days, but training AI models requires a lot of positive samples. However, at the beginning of a new epidemic, there were not many positive cases confirmed by nucleic acid test (NAT); 2) All imaging data should come from the COVID-19 patients confirmed by NAT who underwent lung CT scans. This re.....
    Document: Building a practical AI for epidemic response is different from typical AI diagnostic systems for the following reasons: 1) We need to build the system in days, but training AI models requires a lot of positive samples. However, at the beginning of a new epidemic, there were not many positive cases confirmed by nucleic acid test (NAT); 2) All imaging data should come from the COVID-19 patients confirmed by NAT who underwent lung CT scans. This requirement also ensured that the image data had the diagnostic characteristics; 3) Even with enough samples, training a model can require extensive annotations from experienced radiologists, but there is no reason to burden these exhausted radiologists with extra work; 4) While it is easy to distinguish pneumonia from healthy cases, it is non-trivial for the model to distinguish COVID-19 from other pulmonary diseases, which is the top clinical requirement; 5) AI systems usually require professional deployment service on-premise of the hospitals, which is not feasible in quarantine.

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