Author: Xueyan Mei; Hao-Chih Lee; Kaiyue Diao; Mingqian Huang; Bin Lin; Chenyu Liu; Zongyu Xie; Yixuan Ma; Philip M. Robson; Michael Chung; Adam Bernheim; Venkatesh Mani; Claudia Calcagno; Kunwei Li; Shaolin Li; Hong Shan; Jian Lv; Tongtong Zhao; Junli Xia; Qihua Long; Sharon Steinberger; Adam Jacobi; Timothy Deyer; Marta Luksza; Fang Liu; Brent P. Little; Zahi A. Fayad; Yang Yang
Title: Artificial intelligence for rapid identification of the coronavirus disease 2019 (COVID-19) Document date: 2020_4_17
ID: 79tozwzq_29
Snippet: Our proposed model does have some limitations. One major limitation of this study is the limited sample size. Despite the promising results of using the AI model to screen SARS-CoV-2, further data collection is required to test the generalizability of the AI model to other patient populations......
Document: Our proposed model does have some limitations. One major limitation of this study is the limited sample size. Despite the promising results of using the AI model to screen SARS-CoV-2, further data collection is required to test the generalizability of the AI model to other patient populations.
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