TY -非盟的刘Ping-Yen盟——蔡Yi-Shan盟——陈,前往盟——蔡Huey-Pin盟——徐Ling-Wei AU -王,Chi-Shiang AU -李,Nan-Yao AU -黄,Mu-Shiang盟——吴Yun-Chiao AU - Ko, Wen-Chien AU -杨,Yi-Ching盟,蒋介石Jung-Hsien盟——沈Meng-Ru PY - 2020 DA - 2020/10/14 TI -人工智能应用程序的一个三部曲加速处理疑似患者SARS-CoV-2智能检疫站:观察研究JO - J Med Internet Res SP - e19878 VL - 22 IS - 10kw - SARS-CoV-2 KW - COVID-19 KW -人工智能KW -智能设备辅助决策KW -检疫站AB -背景:随着COVID-19疫情的严重程度增加，医院急诊科(EDs)外检疫站的负担日益增加。为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，有必要简化各个亚专科的医生和外科医生的工作流程和决策过程。目的:本文的目的是展示国立成功大学医院的人工智能(AI)三部曲:智能检检站分流、人工智能辅助图像解译和内置临床决策算法如何改善医疗服务，减少检疫处理时间。方法:这项关于新出现的COVID-19大流行的观察性研究包括643名患者。在新冠肺炎疫情期间，应用智能检疫站分流、人工智能辅助图像解译、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:使用AI三部曲有助于处理有或无症状的COVID-19疑似病例;使用平板电脑设备获取旅行、职业、接触和聚类历史。智能临床辅助系统(SCAS)中合并了一个单独的ai模式功能，该功能可以快速识别胸片上的肺渗透，随后使用GitHub开源数据集中的COVID-19肺炎病例对该模型进行训练。 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. SN - 1438-8871 UR - //www.mybigtv.com/2020/10/e19878/ UR - https://doi.org/10.2196/19878 UR - http://www.ncbi.nlm.nih.gov/pubmed/33001832 DO - 10.2196/19878 ID - info:doi/10.2196/19878 ER -