应用人工智能“三部曲”加快智能检疫站对疑似SARS-CoV-2患者的处卡塔尔世界杯8强波胆分析理观察研究%A Liu, pingyen %A Tsai, yshan %A Chen, polin %A Tsai, huei - pin %A Hsu,Ling-Wei %A Wang, chishan %A Lee, nanyao %A Huang, muu - shiang %A Wu,Yun-Chiao %A Ko, wenchien %A Yang,Yi-Ching %A Chiang - hsien %A Shen, mengru %+国立成功大学医学院附属成功大学医院妇产科，台南胜利路138号，70401，台湾，886 6 2353535 ext 5505mrshen@mail.ncku.edu.tw %K SARS-CoV-2 %K COVID-19 %K人工智能%K智能设备辅助决策%K检疫站%D 2020 %7 14.10.2020 %9背景:随着COVID-19疫情严重程度的增加，医院急诊科(ed)外的检疫站负担日益增加。为了解决检疫站筛查工作量大的问题，所有持有医疗执照的工作人员都必须在检疫站轮班工作。因此，有必要简化所有亚专科医师和外科医生的工作流程和决策过程。目的:本文旨在展示国立成功大学医院人工智能(AI)三部曲(智能检疫站分流、人工智能辅助图像判读和内置临床决策算法)如何改善医疗服务并减少检疫处理时间。方法:对新发COVID-19大流行病例643例进行观察性研究。在新冠肺炎疫情期间，通过智能检疫站分流、人工智能辅助图像判读、平板电脑内置临床决策算法等“人工智能三部曲”，缩短了检疫调查流程，缩短了处理时间。结果:人工智能三部曲的使用促进了有或无症状的COVID-19疑似病例的处理;此外，通过平板电脑设备获得了旅行、职业、接触和群集历史。 A separate AI-mode function that could quickly recognize pulmonary infiltrates on chest x-rays was merged into the smart clinical assisting system (SCAS), and this model was subsequently trained with COVID-19 pneumonia cases from the GitHub open source data set. The detection rates for posteroanterior and anteroposterior chest x-rays were 55/59 (93%) and 5/11 (45%), respectively. The SCAS algorithm was continuously adjusted based on updates to the Taiwan Centers for Disease Control public safety guidelines for faster clinical decision making. Our ex vivo study demonstrated the efficiency of disinfecting the tablet computer surface by wiping it twice with 75% alcohol sanitizer. To further analyze the impact of the AI application in the quarantine station, we subdivided the station group into groups with or without AI. Compared with the conventional ED (n=281), the survey time at the quarantine station (n=1520) was significantly shortened; the median survey time at the ED was 153 minutes (95% CI 108.5-205.0), vs 35 minutes at the quarantine station (95% CI 24-56; P<.001). Furthermore, the use of the AI application in the quarantine station reduced the survey time in the quarantine station; the median survey time without AI was 101 minutes (95% CI 40-153), vs 34 minutes (95% CI 24-53) with AI in the quarantine station (P<.001). Conclusions: The AI trilogy improved our medical care workflow by shortening the quarantine survey process and reducing the processing time, which is especially important during an emerging infectious disease epidemic. %M 33001832 %R 10.2196/19878 %U //www.mybigtv.com/2020/10/e19878/ %U https://doi.org/10.2196/19878 %U http://www.ncbi.nlm.nih.gov/pubmed/33001832