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_7
Snippet: Our initial study with chest CTs in 21 real-time RT-PCR assay confirmed patients also found high rates of ground-glass opacities and consolidation, sometimes with a rounded morphology and peripheral lung distribution 8 . A recent study has also shown that CT may demonstrate lung abnormalities in the setting of a negative RT-PCR test 17 . All this highlights the necessity for fast and accurate reporting of chest CTs......
Document: Our initial study with chest CTs in 21 real-time RT-PCR assay confirmed patients also found high rates of ground-glass opacities and consolidation, sometimes with a rounded morphology and peripheral lung distribution 8 . A recent study has also shown that CT may demonstrate lung abnormalities in the setting of a negative RT-PCR test 17 . All this highlights the necessity for fast and accurate reporting of chest CTs.
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