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Artificial Intelligence in Health                            Deep learning on chest X-ray and CT for COVID-19



               com. Accessed April 9, 2021. https://kaggle.com/  10.  Dosovitskiy A, Beyer L, Kolesnikov A, et al. An image is Worth
               paultimothymooney/chest-xray-pneumonia             16x16 Words: Transformers for Image Recognition at Scale;
            (5)  Gogineni A. AjayKumarGogineni777/covid_cnn.      2020.
               GitHub. Published October 16, 2020. Accessed April   doi: 10.48550/arXiv.2010.11929
               10, 2021. https://github.com/AjayKumarGogineni777/  11.  Radford A, Kim JW, Hallacy C, et al. Learning Transferable
               covid_cnn                                          Visual Models From Natural Language Supervision.

            References                                            arXiv:210300020; 2021. Available from: https://arxiv.org/
                                                                  abs/2103.00020 [Last accessed on 2023 Mar 05].
            1.   World Health Organization. Determinants of Health; 2023.   12.  WHO.  COVAX: Working for Global Equitable Access to
               Available from: https://www.who.int [Last accessed on 2024   COVID-19 Vaccines. World Health Organization; 2020.
               Sep 16].
                                                                  Available  from:  https://www.who.int/initiatives/act-
            2.   Pathak  AD,  Saran  D,  Mishra  S,  Hitesh  M,  Bathula  S,   accelerator/covax [Last accessed on 2021 Apr 09].
               Sahu KK. Smart war on COVID-19 and global pandemics:   13.  Cleverley J, Piper J, Jones MM. The role of chest radiography
               Integrated AI and blockchain ecosystem. Panigrahi CR,   in confirming covid-19 pneumonia. BMJ. 2020;370:m2426.
               Pati B, Rath M, Buyya R, editors. Computational Modeling
               and Data Analysis in COVID-19 Research.  United  States:      doi: 10.1136/bmj.m2426
               CRC Press; 2021.
                                                               14.  Zu ZY, Jiang MD, Xu PP, et al. Coronavirus disease 2019
               doi: 10.1201/9781003137481-5                       (COVID-19): A  perspective from China.  Radiology.
                                                                  2020;296(2):E15-E25.
            3.   Kishore R, Jha PK,  Das  S, Agarwal  D, Maloo T, Pegu H,
               et al. A Kinetic Model for Qualitative Understanding and      doi: 10.1148/radiol.2020200490
               Analysis of the Effect of Complete Lockdown Imposed by   15.  Wang L, Lin ZQ, Wong A. COVID-Net: A  tailored
               India for Controlling the COVID-19 disease spread by the   deep  convolutional  neural  network  design  for detection
               SARS-CoV-2 virus.
                                                                  of COVID-19  cases from chest X-ray images. Sci
               doi: 10.48550/arXiv.2004.05684                     Rep. 2020;10(1):19549.
            4.   Varadi M, Anyango S, Deshpande M, et al. AlphaFold protein      doi: 10.1038/s41598-020-76550-z
               structure database: massively expanding the structural   16.  Wang S, Kang B, Ma J, et al. A deep learning algorithm using
               coverage of protein-sequence space with high accuracy   CT images to screen for Corona virus disease (COVID-19).
               models. Nucleic Acids Res. 2021;50(D1):D439-D444.
                                                                  Eur Radiol. 2021;31:6096-6104.
               doi: 10.1093/nar/gkab1061
                                                                  doi: 10.1007/s00330-021-07715-1
            5.   Chowdhery A, Narang S, Devlin J,  et al.  PaLM: Scaling   17.  Joaquin AS. Using Deep Learning to Detect NCOV-19 from
               Language Modeling with Pathways. arXiv:220402311; 2022.   X-Ray Images. Medium; 2020. Available from: https://
               Available from: https://arxiv.org/abs/2204.02311 [Last   towardsdatascience.com/using-deep-learning-to-detect-
               accessed on 2023 Mar 05].
                                                                  ncov-19-from-x-ray-images-1a89701d1acd [Last accessed
            6.   Liu Z, Mao H, Wu CY, Feichtenhofer C, Darrell T, Xie S.   2020 Jun 27].
               A ConvNet for the 2020s. arXiv:220103545; 2022. Available   18.  Ismael  AM,  Şengür  A.  Deep  learning  approaches  for
               from: https://arxiv.org/abs/2201.03545 [Last accessed on   COVID-19 detection based on chest X-ray images. Expert
               2023 Mar 05].
                                                                  Syst Appl. 2021;164:114054.
            7.   Habib A, Hasan J, Kim J. A Lightweight deep learning-based      doi: 10.1016/j.eswa.2020.114054
               approach for concrete crack characterization using acoustic
               emission signals. IEEE Access. 2021;9:104029-50.  19.  Zhang J, Xie Y, Pang G, et al. Viral pneumonia screening
                                                                  on chest x-rays using confidence-aware anomaly detection.
               doi: 10.1109/access.2021.3099124
                                                                  IEEE Trans Med Imaging. 2021;40(3):879-890.
            8.   Sohaib M, Hasan MJ, Chen J, Zheng Z. Generalizing      doi: 10.1109/tmi.2020.3040950
               infrastructure inspection: Step transfer learning aided
               extreme learning machine for automated crack detection in   20.  Hemdan EE, Shouman MA, Mohamed Esmail Karar.
               concrete structures. Meas Sci Technol. 2024l;35:055402.  COVIDX-Net: A Framework of Deep Learning Classifiers to
                                                                  Diagnose COVID-19 in X-Ray Images. arXiv. Ithaca: Cornell
               doi: 10.1088/1361-6501/ad296c
                                                                  University; 2020.
            9.   Liu Z, Lin Y, Cao Y, et al. Swin Transformer: Hierarchical      doi: 10.48550/arxiv.2003.11055
               Vision Transformer using Shifted Windows. arXiv:210314030;
               2021. Available from: https://arxiv.org/abs/2103.14030 [Last   21.  Jain  R,  Gupta  M,  Taneja  S,  Hemanth  DJ.  Deep  learning
               accessed on 2023 Mar 05].                          based detection and analysis of COVID-19 on chest X-ray


            Volume 2 Issue 1 (2025)                         39                               doi: 10.36922/aih.2888
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