Literature DB >> 33750227

Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Harrison X Bai, Robin Wang, Zeng Xiong, Ben Hsieh, Ken Chang, Kasey Halsey, Thi My Linh Tran, Ji Whae Choi, Dong-Cui Wang, Lin-Bo Shi, Ji Mei, Xiao-Long Jiang, Ian Pan, Qiu-Hua Zeng, Ping-Feng Hu, Yi-Hui Li, Fei-Xian Fu, Raymond Y Huang, Ronnie Sebro, Qi-Zhi Yu, Michael K Atalay, Wei-Hua Liao.   

Abstract

Entities:  

Year:  2021        PMID： 33750227      PMCID： PMC8906348          DOI： 10.1148/radiol.2021219004

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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Originally published in: Radiology 2020; 296:E156–E165 https://doi.org:/10.1148/radiol.2020201491 Erratum in: https://doi.org:/10.1148/radiol.2021219004 Harrison X. Bai and Robin Wang share equal contribution in this article and should have been listed as Harrison X. Bai*, Robin Wang*, with the asterisks indicating equal contribution.
  6 in total

1.  Artificial intelligence computed tomography helps evaluate the severity of COVID-19 patients: A retrospective study.

Authors:  Yi Han; Su-Cheng Mu; Hai-Dong Zhang; Wei Wei; Xing-Yue Wu; Chao-Yuan Jin; Guo-Rong Gu; Bao-Jun Xie; Chao-Yang Tong
Journal:  World J Emerg Med       Date:  2022

2.  Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information.

Authors:  Wufeng Xue; Chunyan Cao; Jie Liu; Yilian Duan; Haiyan Cao; Jian Wang; Xumin Tao; Zejian Chen; Meng Wu; Jinxiang Zhang; Hui Sun; Yang Jin; Xin Yang; Ruobing Huang; Feixiang Xiang; Yue Song; Manjie You; Wen Zhang; Lili Jiang; Ziming Zhang; Shuangshuang Kong; Ying Tian; Li Zhang; Dong Ni; Mingxing Xie
Journal:  Med Image Anal       Date:  2021-01-20       Impact factor: 8.545

3.  CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification.

Authors:  Mikhail Goncharov; Maxim Pisov; Alexey Shevtsov; Boris Shirokikh; Anvar Kurmukov; Ivan Blokhin; Valeria Chernina; Alexander Solovev; Victor Gombolevskiy; Sergey Morozov; Mikhail Belyaev
Journal:  Med Image Anal       Date:  2021-04-01       Impact factor: 8.545

4.  Using artificial intelligence to improve the diagnostic efficiency of pulmonologists in differentiating COVID-19 pneumonia from community-acquired pneumonia.

Authors:  Erdal İn; Ayşegül A Geçkil; Gürkan Kavuran; Mahmut Şahin; Nurcan K Berber; Mutlu Kuluöztürk
Journal:  J Med Virol       Date:  2022-05-02       Impact factor: 20.693

Review 5.  The Added Effect of Artificial Intelligence on Physicians' Performance in Detecting Thoracic Pathologies on CT and Chest X-ray: A Systematic Review.

Authors:  Dana Li; Lea Marie Pehrson; Carsten Ammitzbøl Lauridsen; Lea Tøttrup; Marco Fraccaro; Desmond Elliott; Hubert Dariusz Zając; Sune Darkner; Jonathan Frederik Carlsen; Michael Bachmann Nielsen
Journal:  Diagnostics (Basel)       Date:  2021-11-26

6.  A Hybrid Method of Covid-19 Patient Detection from Modified CT-Scan/Chest-X-Ray Images Combining Deep Convolutional Neural Network And Two- Dimensional Empirical Mode Decomposition.

Authors:  Nahian Ibn Hasan
Journal:  Comput Methods Programs Biomed Update       Date:  2021-07-23
  6 in total

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