Selected article for: "clinical information and diagnostic tool"
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_26
    Snippet: We believe implementation of the joint algorithm discussed above could aid in both issues. First, the AI algorithm could evaluate the CT immediately after completion. Secondly, the algorithm outperformed radiologists in identifying SARS-CoV-2 (+) patients demonstrating normal CT results in the early stage. Thirdly, the algorithm performed equally well in sensitivity (p=0.05) in the diagnosis of SARS-CoV-2 as compared to a senior thoracic radiolog.....
    Document: We believe implementation of the joint algorithm discussed above could aid in both issues. First, the AI algorithm could evaluate the CT immediately after completion. Secondly, the algorithm outperformed radiologists in identifying SARS-CoV-2 (+) patients demonstrating normal CT results in the early stage. Thirdly, the algorithm performed equally well in sensitivity (p=0.05) in the diagnosis of SARS-CoV-2 as compared to a senior thoracic radiologist. Specifically, the joint algorithm achieved a statistically significant 6% (p<0.01) and 12% (p<0.001) improvement in AUC as compared to the CNN model using only CT images and the MLP model using only clinical information respectively. The AI model could be deployed as an application that can run on a simple workstation alongside the radiologists. Use of the AI tool would require integration with the Radiology PACS and clinical database systems or other image storage database, which is relatively easy to achieve in modern hospital systems. The AI system could be implemented as a rapid diagnostic tool to flag suspected SARS-CoV-2 patients when CT images and/or clinical All rights reserved. No reuse allowed without permission.

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