Applications of artificial intelligence in battling against covid-19: A literature review

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423 · see citing works

Features, Evaluation and Treatment Coronavirus (COVID-19)

Cascella, M., Rajnik, M., Cuomo, A., Dulebohn, S. C., & Napoli, R. D. (2020) · StatPearls · Cited by 3,351 · see citing works

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

Wang, L., Lin, Z. Q., & Wong, A. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-76550-z · Cited by 3,151 · see citing works

Automated detection of COVID-19 cases using deep neural networks with X-ray images

Öztürk, T., Talo, M., Yildirim, E. A., Baloğlu, U. B., Yıldırım, Ö., & Acharya, U. R. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103792 · Cited by 2,607 · see citing works

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Apostolopoulos, I. D., & Mpesiana, T. A. (2020) · Physical and Engineering Sciences in Medicine · doi:10.1007/s13246-020-00865-4 · Cited by 2,338 · see citing works

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks

Narin, A., Kaya, C., & Pamuk, Z. (2021) · Pattern Analysis and Applications · doi:10.1007/s10044-021-00984-y · Cited by 2,054 · see citing works

Can AI help in screening viral and COVID-19 pneumonia?

Chowdhury, M. E. H., Rahman, T., Khandakar, A., Mazhar, R., Kadir, M. A., Mahbub, Z. B., Islam, K. R., Khan, M. S., Iqbal, A., Emadi, N. A., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3010287 · Cited by 1,913 · see citing works

The Impact of COVID-19 Epidemic Declaration on Psychological Consequences: A Study on Active Weibo Users

Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17062032 · Cited by 1,835 · see citing works

A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)

Wang, S., Kang, B., Ma, J., Zeng, X., Xiao, M., Guo, J., Cai, M., Yang, J., Li, Y., Meng, X., et al. (2021) · European Radiology · doi:10.1007/s00330-021-07715-1 · Cited by 1,668 · see citing works

Artificial Intelligence (AI) applications for COVID-19 pandemic

Vaishya, R., Javaid, M., Khan, I. H., & Haleem, A. (2020) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.012 · Cited by 1,502 · see citing works

Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19

Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.2987975 · Cited by 1,404 · see citing works

Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing

Wang, C. J., Ng, C. Y., & Brook, R. H. (2020) · JAMA · doi:10.1001/jama.2020.3151 · Cited by 1,391 · see citing works

Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions

Yang, Z., Zeng, Z., Wang, K., Wong, S., Liang, W., Zanin, M., Liu, P., Cao, X., Gao, Z., Mai, Z., et al. (2020) · Journal of Thoracic Disease · doi:10.21037/jtd.2020.02.64 · Cited by 1,389 · see citing works

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Khan, A. I., Shah, J. L., & Bhat, M. M. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105581 · Cited by 1,312 · see citing works

An interpretable mortality prediction model for COVID-19 patients

Li, Y., Zhang, H., Gonçalves, J. M., Xiao, Y., Wang, M., Guo, Y., Sun, C., Tang, X., Jing, L., Zhang, M., et al. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-0180-7 · Cited by 1,304 · see citing works

Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images

Fan, D.-P., Zhou, T., Ji, G.-P., Zhou, Y., Chen, G., Fu, H., Shen, J., & Shao, L. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2996645 · Cited by 1,262 · see citing works

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

(2018) · doi:10.1109/icassp34228.2018 · Cited by 1,259 · see citing works

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT

Zheng, C., Deng, X., Fu, Q., Zhou, Q., Feng, J., Ma, H., Liu, W., & Wang, X. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2995965 · Cited by 1,237 · see citing works

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

Xu, X., Jiang, X., Ma, C., Du, P., Li, X., Lv, S., Yu, L., Ni, Q., Chen, Y., Su, J., et al. (2020) · Engineering · doi:10.1016/j.eng.2020.04.010 · Cited by 1,209 · see citing works

COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray ImagesPreprint

Hemdan, E. E., Shouman, M. A., & Karar, M. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.11055 · Cited by 1,181 · see citing works

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network

Abbas, A., Abdelsamea, M. M., & Gaber, M. M. (2020) · Applied Intelligence · doi:10.1007/s10489-020-01829-7 · Cited by 1,142 · see citing works

A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact

Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020) · IEEE Access · doi:10.1109/access.2020.2992341 · Cited by 1,099 · see citing works

Artificial intelligence–enabled rapid diagnosis of patients with COVID-19

Mei, X., Lee, H.-C., Diao, K.-Y., Huang, M., Lin, B., Liu, C., Xie, Z., Ma, Y., Robson, P. M., Chung, M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0931-3 · Cited by 1,084 · see citing works

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

Chimmula, V. K. R., & Zhang, L. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109864 · Cited by 1,082 · see citing works

Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning

Yang, C., Zhao, H., Bruzzone, L., Benediktsson, J. A., Liang, Y., Liu, B., Zeng, X., Guan, R., Li, C., & Ouyang, Z. (2020) · Nature Communications · doi:10.1038/s41467-020-20215-y · Cited by 1,065 · see citing works

A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)Preprint

Wang, S., Kang, B., Ma, J., et al. (2020) · medRxiv · doi:10.1101/2020.02.14.20023028 · Cited by 1,035 · see citing works

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Minaee, S., Kafieh, R., Milan Sonka, A., Yazdani, S., & Soufi, G. J. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101794 · Cited by 1,026 · see citing works

COVID-19 Image Data Collection: Prospective Predictions are the Future

Cohen, J., Morrison, P., Dao, L., Roth, K., Duong, T. Q., & Ghassemi, M. (2020) · The Journal of Machine Learning for Biomedical Imaging · doi:10.59275/j.melba.2020-48g7 · Cited by 1,026 · see citing works

Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study

Randhawa, G. S., Soltysiak, M. P. M., El Roz, H., de Souza, C. P. E., Hill, K. A., & Kari, L. (2020) · PLOS ONE · doi:10.1371/journal.pone.0232391 · Cited by 1,023 · see citing works

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images

Song, Y., Zheng, S., Li, L., Zhang, X., Zhang, X., Huang, Z., Chen, J., Zhao, H., Wang, R., Chong, Y., et al. (2021) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2021.3065361 · Cited by 960 · see citing works

Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography

Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.045 · Cited by 917 · see citing works

Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets

Oh, Y., Park, S. J., & Ye, J. C. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2993291 · Cited by 897 · see citing works

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Ardakani, A. A., Kanafi, A. R., Acharya, U. R., Khadem, N., & Mohammadi, A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103795 · Cited by 848 · see citing works

Applications of machine learning and artificial intelligence for Covid-19 (SARS-CoV-2) pandemic: A review

Lalmuanawma, S., Hussain, J., & Chhakchhuak, L. (2020) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110059 · Cited by 845 · see citing works

Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model

Beck, B. R., Shin, B., Choi, Y., Park, S., & Kang, K. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.03.025 · Cited by 815 · see citing works

COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images

Uçar, F., & Korkmaz, D. (2020) · Medical Hypotheses · doi:10.1016/j.mehy.2020.109761 · Cited by 768 · see citing works

Deep Learning-based Detection for COVID-19 from Chest CT using Weak LabelPreprint

Zheng, C., Deng, X., Fu, Q., et al. (2020) · medRxiv · doi:10.1101/2020.03.12.20027185 · Cited by 727 · see citing works

Detection of Coronavirus Disease (COVID-19) Based on Deep FeaturesPreprint

Sethy, P. K., & Behera, S. K. (2020) · Preprints.org · doi:10.20944/preprints202003.0300.v1 · Cited by 723 · see citing works

COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images

Afshar, P., Heidarian, S., Naderkhani, F., Oikonomou, A., Plataniotis, K. N., & Mohammadi, A. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2020.09.010 · Cited by 710 · see citing works

A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2

Rahimzadeh, M., & Attar, A. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100360 · Cited by 695 · see citing works

A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

Islam, M. Z., Islam, M. M., & Asraf, A. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100412 · Cited by 691 · see citing works

Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography

Chen, J., Wu, L., Zhang, J., Zhang, L., Gong, D., Zhao, Y., Chen, Q., Huang, S., Yang, M., Yang, X., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-76282-0 · Cited by 674 · see citing works

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

Waheed, A., Goyal, M., Gupta, D., Khanna, A., Al-turjman, F., & Pinheiro, P. (2020) · IEEE Access · doi:10.1109/access.2020.2994762 · Cited by 659 · see citing works

Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks

Singh, D., Kumar, V., Vaishali, & Kaur, M. (2020) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-03901-z · Cited by 647 · see citing works

Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet

Panwar, H., Gupta, P. K., Siddiqui, M. K., Morales-Menéndez, R., & Singh, V. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109944 · Cited by 645 · see citing works

Rapid AI Development Cycle for the Coronavirus (COVID-19) Pandemic: Initial Results for Automated Detection & Patient Monitoring using Deep Learning CT Image AnalysisPreprint

Gozes, O., Frid-Adar, M., Greenspan, H. K., Browning, P. D., Zhang, H., Ji, W., Bernheim, A., & Siegel, E. L. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.05037 · Cited by 638 · see citing works

CORD-19: The COVID-19 Open Research DatasetPreprint

Wang, L. L., Lo, K., Chandrasekhar, Y., Reas, R., Yang, J., Burdick, D., Eide, D., Funk, K., Katsis, Y., Kinney, R., et al. (2020) · PubMed · doi:10.48550/arxiv.2004.10706 · Cited by 635 · see citing works

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays

Brunese, L., Mercaldo, F., Reginelli, A., & Santone, A. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105608 · Cited by 623 · see citing works

AI4COVID-19: AI enabled preliminary diagnosis for COVID-19 from cough samples via an app

Imran, A., Posokhova, I., Qureshi, H. N., Masood, U., Riaz, M. S., Ali, K., John, C. N., Hussain, M. I., & Nabeel, M. (2020) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2020.100378 · Cited by 621 · see citing works

Multi-task Deep Learning Based CT Imaging Analysis For COVID-19: Classification and Segmentation

Amyar, A., Modzelewski, R., Li, H., & Ruan, S. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.104037 · Cited by 615 · see citing works

Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning

Jaiswal, A., Gianchandani, N., Singh, D., Kumar, V., & Kaur, M. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1788642 · Cited by 612 · see citing works

Artificial intelligence and machine learning to fight COVID-19

Alimadadi, A., Aryal, S., Manandhar, I., Munroe, P. B., Joe, B., & Cheng, X. (2020) · Physiological Genomics · doi:10.1152/physiolgenomics.00029.2020 · Cited by 609 · see citing works

Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

Roy, S., Menapace, W., Oei, S. P., Luijten, B., Fini, E., Saltori, C., Huijben, I. A. M., Chennakeshava, N., Mento, F., Sentelli, A., et al. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2994459 · Cited by 597 · see citing works

Development and evaluation of an artificial intelligence system for COVID-19 diagnosis

Jin, C., Chen, W., Cao, Y., Xu, Z., Tan, Z., Zhang, X., Deng, L., Zheng, C., Zhou, J., Shi, H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18685-1 · Cited by 591 · see citing works

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

Toğaçar, M., Ergen, B., & Cömert, Z. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103805 · Cited by 574 · see citing works

Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

Jamshidi, M., Lalbakhsh, A., Talla, J., Peroutka, Z., Hadjilooei, F., Lalbakhsh, P., Jamshidi, M., Spada, L. L., Mirmozafari, M., Dehghani, M., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3001973 · Cited by 551 · see citing works

Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemic

Chen, T., Peng, L., Yin, X., Rong, J., Yang, J., & Cong, G. (2020) · Healthcare · doi:10.3390/healthcare8030200 · Cited by 541 · see citing works

AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system

Wang, B., Jin, S., Yan, Q., Xu, H., Luo, C. W., Wei, L., Zhao, W. Z., Hou, X., Ma, W., Xu, Z., et al. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106897 · Cited by 539 · see citing works

Within the lack of chest COVID-19 X-ray dataset: A novel detection model based on GAN and deep transfer learning

Loey, M., Smarandache, F., & M. Khalifa, N. E. (2020) · Symmetry · doi:10.3390/sym12040651 · Cited by 538 · see citing works

Misinformation sharing and social media fatigue during COVID-19: an affordance and cognitive load perspective.

Islam, A. K. M. N., Laato, S., Talukder, S., & Sutinen, E. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120201 · Cited by 538 · see citing works

COVID-19 Future Forecasting Using Supervised Machine Learning Models

Rustam, F., Reshi, A. A., Mehmood, A., Ullah, S., On, B.-W., Aslam, W., & Choi, G. S. (2020) · IEEE Access · doi:10.1109/access.2020.2997311 · Cited by 531 · see citing works

Machine learning-based prediction of COVID-19 diagnosis based on symptoms

Zoabi, Y., Deri-Rozov, S., & Shomron, N. (2021) · npj Digital Medicine · doi:10.1038/s41746-020-00372-6 · Cited by 530 · see citing works

CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimization

Mahmud, T., Rahman, M. A., & Fattah, S. A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103869 · Cited by 525 · see citing works

COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm

Iwendi, C., Bashir, A. K., Peshkar, A., Sujatha, R., Chatterjee, J. M., Pasupuleti, S., Mishra, R., Pillai, S. K., & Jo, O. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00357 · Cited by 520 · see citing works

Mapping the landscape of Artificial Intelligence applications against COVID-19

Aylett-Bullock, J., Luccioni, A. S., Pham, K. H., Lam, C. S. N., & Luengo-Oroz, M. A. (2020) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12162 · Cited by 517 · see citing works

COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios

Pereira, R. M., Bertolini, D. S., Teixeira, L., Junior, C. N. S., & Costa, Y. M. G. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105532 · Cited by 511 · see citing works

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

Zeroual, A., Harrou, F., Dairi, A., & Sun, Y. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.110121 · Cited by 508 · see citing works

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Wu, Y.-H., Gao, S.-H., Mei, J., Xu, J., Fan, D.-P., Zhang, R.-G., & Cheng, M.-M. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3058783 · Cited by 506 · see citing works

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

Ong, E., Wong, M. U., Huffman, A., & He, Y. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01581 · Cited by 499 · see citing works

Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing

Tuli, S., Tuli, S., Tuli, R., & Gill, S. S. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100222 · Cited by 497 · see citing works

A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis

Wang, S., Zha, Y., Li, W., Wu, Q., Li, X., Niu, M., Wang, M., Qiu, X., Li, H., He, Y., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.00775-2020 · Cited by 493 · see citing works

Lung Infection Quantification of COVID-19 in CT Images with Deep LearningPreprint

Shan, F., Gao, Y., Wang, J., Shi, W., Shi, N., Han, M., Xue, Z., Shen, D. G., & Shi, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.04655 · Cited by 489 · see citing works

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Ribeiro, M. H. D. M., da Silva, R. G., Mariani, V. C., & Coelho, L. D. S. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109853 · Cited by 475 · see citing works

Deep Transfer Learning Based Classification Model for COVID-19 Disease

Pathak, Y., Shukla, P. K., Tiwari, A., Stalin, S., Singh, S., & Shukla, P. K. (2020) · IRBM · doi:10.1016/j.irbm.2020.05.003 · Cited by 462 · see citing works

On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management

Allam, Z., & Jones, D. S. (2020) · Healthcare · doi:10.3390/healthcare8010046 · Cited by 450 · see citing works

Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity

Jiang, X., Coffee, M. P., Bari, A., Wang, J., Jiang, X., Huang, J., Shi, J., Dai, J., Cai, J., Zhang, T., et al. (2020) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2020.010691 · Cited by 450 · see citing works

Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data

Brown, C., Chauhan, J., Grammenos, A., Han, J., Hasthanasombat, A., Spathis, D., Xia, T., Cicuta, P., & Mascolo, C. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3394486.3412865 · Cited by 447 · see citing works

Prediction for the spread of COVID-19 in India and effectiveness of preventive measures

Tomar, A., & Gupta, N. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.138762 · Cited by 445 · see citing works

Optimization Method for Forecasting Confirmed Cases of COVID-19 in China

Al‐qaness, M. A. A., Ewees, A. A., Fan, H. M., & Elaziz, M. A. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9030674 · Cited by 441 · see citing works

Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT ScansPreprint

He, X., Yang, X., Zhang, S., Zhao, J., Zhang, Y., Xing, E., & Xie, P. (2020) · medRxiv · doi:10.1101/2020.04.13.20063941 · Cited by 434 · see citing works

COVID-19 Outbreak Prediction with Machine Learning

Ardabili, S., Mosavi, A. H., Ghamisi, P., Filip, F., Várkonyi-Kóczy, A. R., Reuter, U., Rabczuk, T., & Atkinson, P. M. (2020) · Algorithms · doi:10.3390/a13100249 · Cited by 427 · see citing works

A machine learning-based model for survival prediction in patients with severe COVID-19 infectionPreprint

Li, Y., Zhang, H., Gonçalves, J. M., et al. (2020) · medRxiv · doi:10.1101/2020.02.27.20028027 · Cited by 426 · see citing works

Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach

Huang, L., Han, R., Ai, T., Yu, P., Kang, H. S., Tao, Q., & Xia, L. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200075 · Cited by 424 · see citing works

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Heidari, M., Mirniaharikandehei, S., Khuzani, A. Z., Danala, G., Qiu, Y., & Zheng, B. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104284 · Cited by 423 · see citing works

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

Chakraborty, T., & Ghosh, I. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109850 · Cited by 415 · see citing works

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Pham, Q.-V., Nguyen, D. C., Huynh-The, T., Hwang, W.-J., & Pathirana, P. N. (2020) · IEEE Access · doi:10.1109/access.2020.3009328 · Cited by 413 · see citing works

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from RadiographsPreprint

Farooq, M. A., & Hafeez, A. B. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.14395 · Cited by 409 · see citing works

COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification

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The Role of Imaging in the Detection and Management of COVID-19: A Review

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An optimized deep learning architecture for the diagnosis of COVID-19 disease based on gravitational search optimization

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Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT ImagesPreprint

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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

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COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images

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Medbot: Conversational Artificial Intelligence Powered Chatbot for Delivering Tele-Health after COVID-19

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Application of Artificial Intelligence in COVID-19 drug repurposing

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Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron

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A Vision-Based Social Distancing and Critical Density Detection System for COVID-19

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Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections

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Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

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COVID-19 diagnosis prediction in emergency care patients: a machine learning approachPreprint

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Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming

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Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

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Development and Evaluation of an AI System for COVID-19 DiagnosisPreprint

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Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review

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COVID-19 Control by Computer Vision Approaches: A Survey

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Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods

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Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study

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Coronavirus (COVID-19) Classification Using Deep Features Fusion and Ranking Technique

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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

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Coronavirus disease (COVID-19) cases analysis using machine-learning applications

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Machine Learning (ML) in Medicine: Review, Applications, and Challenges

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Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

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Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

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Densely connected convolutional networks-based COVID-19 screening model

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Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review

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Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic

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Artificial Intelligence in Drug Design: Algorithms, Applications, Challenges and Ethics

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Role of Artificial Intelligence in COVID-19 Detection

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A Review of the Machine Learning Algorithms for Covid-19 Case Analysis

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Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

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Threat of racial and economic inequality increases preference for algorithm decision-making

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CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection

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Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead

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MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images

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Measuring operational efficiency of isolation hospitals during COVID-19 pandemic using data envelopment analysis: a case of Egypt

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Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images

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Optimization in the Context of COVID-19 Prediction and Control: A Literature Review

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Overview of current state of research on the application of artificial intelligence techniques for COVID-19

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Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review

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The application of artificial intelligence and data integration in COVID-19 studies: a scoping review

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Using artificial intelligence technology to fight COVID-19: a review

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Hourly forecasting of the photovoltaic electricity at any latitude using a network of artificial neural networks

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Ethics for integrating emerging technologies to contain COVID ‐19 in Zimbabwe

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Deep forest model for diagnosing COVID-19 from routine blood tests

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A Novel Approach for Linguistic Steganography Evaluation Based on Artificial Neural Networks

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A Deep Learning BiLSTM Encoding-Decoding Model for COVID-19 Pandemic Spread Forecasting

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Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network

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Using a Deep Learning Model to Explore the Impact of Clinical Data on COVID-19 Diagnosis Using Chest X-ray

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Machine intelligence in dynamical systems: \A state‐of‐art review

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Lightweight Neural Network for COVID-19 Detection from Chest X-ray Images Implemented on an Embedded System

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Predictive and Analytics using Data Mining and Machine Learning for Customer Churn Prediction

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Battling COVID-19 using machine learning: A review

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Framework for ethical and acceptable use of social distancing tools and smart devices during COVID-19 pandemic in Zimbabwe

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COVID-19 prediction based on genome similarity of human SARS-CoV-2 and bat SARS-CoV-like coronavirus

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Advances in artificial intelligence for accurate and timely diagnosis of COVID-19: A comprehensive review of medical imaging analysis

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Ontologies as the semantic bridge between artificial intelligence and healthcare

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Intelligent computing networks for nonlinear influenza-A epidemic model

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Standard and Anomalous Waves of COVID-19: A Multiple-Wave Growth Model for Epidemics

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ChestCovidNet: an effective deep learning based approach for COVID-19, lung opacity, and pneumonia detection using chest radiograph images

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Rehabilitation assistive technology transfer in the AI era: network dynamics and public health impacts in the Yangtze River Delta, China

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Convolutional Support Vector Models: Prediction of Coronavirus Disease Using Chest X-rays

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The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19

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The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic

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A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022

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Recent omics-based computational methods for COVID-19 drug discovery and repurposing

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Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge

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An embedded toolset for human activity monitoring in critical environments

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A Comprehensive Review of the Technological Solutions to Analyse the Effects of Pandemic Outbreak on Human Lives

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Detection of COVID-19 using edge devices by a light-weight convolutional neural network from chest X-ray images

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Speech as a Biomarker for COVID-19 Detection Using Machine Learning

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The Challenge of Reorganizing Rehabilitation Services at the Time of COVID-19 Pandemic: A New Digital and Artificial Intelligence Platform to Support Team Work in Planning and Delivering Safe and High Quality Care

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Do you have COVID-19? An artificial intelligence-based screening tool for COVID-19 using acoustic parameters

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Machine Learning in Discovery of New Antivirals and Optimization of Viral Infections Therapy

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Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study

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Fuzzy Clustering Methods to Identify the Epidemiological Situation and Its Changes in European Countries during COVID-19

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Detecting Anxiety via Machine Learning Algorithms: A Literature Review

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Parameters and order identification of fractional-order epidemiological systems by Lévy-PSO and its application for the spread of COVID-19

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Advanced machine learning based exploration for predicting pandemic fatality: Oman dataset

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How Artificial Intelligence for Healthcare Look Like in the Future?

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A comprehensive survey on the biomedical signal processing methods for the detection of COVID-19

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Classification of Marine Mammals Using the Trained Multilayer Perceptron Neural Network with the Whale Algorithm Developed with the Fuzzy System

Takhti, A. H. N., Saffari, A., Martín, D. R., Khishe, M., & Mohammadi, M. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/3216400 · Cited by 13 · see citing works

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

Hasan, N. I. (2021) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2021.100022 · Cited by 13 · see citing works

A Novel Ensemble Machine Learning and an Evolutionary Algorithm in Modeling the COVID-19 Epidemic and Optimizing Government Policies

Najaran, M. H. T. (2022) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2022.3143955 · Cited by 13 · see citing works

Role of rehabilitation amidst the COVID-19 pandemic: a review

Yu, C., & Helwig, E. J. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-03048-1 · Cited by 12 · see citing works

Visualization of COVID Bimodal scan using DNN

Tripathi, A., Basavapattana, A., Nair, R. R., & Singh, T. (2021) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt51525.2021.9579878 · Cited by 12 · see citing works

Social Media and Steganography: Use, Risks and Current Status

Gurunath, R., Klaib, M. F. J., Samanta, D., & Khan, M. Z. (2021) · IEEE Access · doi:10.1109/access.2021.3125128 · Cited by 13 · see citing works

Managing SARS-CoV-2 Testing in Schools with an Artificial Intelligence Model and Application Developed by Simulation Data

Valtchev, S. Z., Asgary, A., Chen, M., Cronemberger, F. A., Najafabadi, M. M., Cojocaru, M. G., & Wu, J. (2021) · Electronics · doi:10.3390/electronics10141626 · Cited by 12 · see citing works

Attention-Based and Time Series Models for Short-Term Forecasting of COVID-19 Spread

Markevičiūtė, J., Bernatavičienė, J., Levuliene, R. J., Medvedev, V., Treigys, P., & Venskus, J. (2021) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.018735 · Cited by 11 · see citing works

Physical and pulmonary capacities of individuals with severe coronavirus disease after hospital discharge: A preliminary cross-sectional study based on cluster analysis

Alonso, A. C., Silva, P. R. S., Quintana, M. S. L., da Silva, V. C., Brech, G. C., Barbosa, L. G., Pompeu, J. E., Silva, É. C. G. E., da Silva, E. M., de Godoy, C. G., et al. (2021) · Clinics · doi:10.6061/clinics/2021/e3540 · Cited by 11 · see citing works

Contagion Modeling and Simulation in Transport and Air Travel Networks During the COVID-19 Pandemic: A Survey

Riquelme, F., Aguilera, A., & Inostrosa‐Psijas, A. (2021) · IEEE Access · doi:10.1109/access.2021.3123892 · Cited by 11 · see citing works

Predicting the severity of COVID ‐19 patients using a multi‐threaded evolutionary feature selection algorithm

Deniz, A., Kızılöz, H. E., Sevinç, E., & Dökeroğlu, T. (2022) · Expert Systems · doi:10.1111/exsy.12949 · Cited by 11 · see citing works

An Adaptive Research Approach to COVID-19 Forecasting for Regional Health Systems in England

Betcheva, L., Erhun, F., Feylessoufi, A., Fryers, P., Gonçalves, P., Jiang, H., Kattuman, P. A., Pape, T., Pari, A. A. A., Scholtes, S., et al. (2024) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.2023.0009 · Cited by 10 · see citing works

Framework for Real-Time Detection and Identification of possible patients of COVID-19 at public places

Peddinti, B., Shaikh, A., Bhavya, K. R., & Kumar, K. C. N. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102605 · Cited by 10 · see citing works

A deep learning approach with Bayesian optimized Kernel support vector machine for Covid-19 diagnosis

Kesav, N., & Jibukumar, M. G. (2022) · Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization · doi:10.1080/21681163.2022.2099299 · Cited by 9 · see citing works

Reliable biological and multi-omics research through biometrology

Dong, L., Zhang, Y., Fu, B., Swart, C., Jiang, H., Liu, Y., Huggett, J. F., Wielgosz, R., Niu, C., Li, Q., et al. (2024) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-024-05239-3 · Cited by 8 · see citing works

Clustering of European countries and territories based on cumulative relative number of COVID 19 patients in 2020

Crnogorac, V., Grbić, M., Đukanović, M., & Matic, D. (2021) · International Symposium INFOTEH-JAHORINA (INFOTEH) · doi:10.1109/infoteh51037.2021.9400670 · Cited by 8 · see citing works

Prediction of COVID-19 Using Recurrent Neural Network Model

Alamsyah, A., Prasetiyo, B., Hakim, M. F. A., & Pradana, F. D. (2021) · Scientific Journal of Informatics · doi:10.15294/sji.v8i1.30070 · Cited by 8 · see citing works

The Role of Methods and Applications of Artificial Intelligence Tools in the Field of Medicine to Diagnose and Discover Various Diseases

Al-Shoteri, A. (2022) · Journal of Applied Data Sciences · doi:10.47738/jads.v3i1.48 · Cited by 9 · see citing works

A Real-Time Crowdsensing Framework for Potential COVID-19 Carrier Detection Using Wearable Sensors

Mankodiya, H., Palkhiwala, P., Gupta, R., Jadav, N. K., Tanwar, S., Neagu, B.-C., Grigoraş, G., Alqahtani, F. H., & Shehata, A. M. (2022) · Mathematics · doi:10.3390/math10162927 · Cited by 8 · see citing works

COVID-19: advance in laboratory diagnostic strategy and technology

Yi, K., Rong, Y., Wang, C., Huang, L., & Wang, F. (2021) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-020-04004-1 · Cited by 8 · see citing works

Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study

Ahmad, A., Safi, O., Malebary, S. J., Alesawi, S., & Alkayal, E. (2021) · Complexity · doi:10.1155/2021/5550344 · Cited by 8 · see citing works

To restrict or not to restrict? Use of artificial neural network to evaluate the effectiveness of mitigation policies: A case study of Turkey

Çaparoğlu, Ö. F., Ok, Y., & Tutam, M. (2021) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2021.111246 · Cited by 8 · see citing works

Proactive vs. passive algorithmic ethics practices in healthcare: the moderating role of healthcare engagement type in patients’ responses

Shu, S., Luo, Q., & Chen, Z. (2025) · BMC Medical Ethics · doi:10.1186/s12910-025-01236-y · Cited by 9 · see citing works

Evaluation of Respiratory Sounds Using Image-Based Approaches for Health Measurement Applications

Cohen-McFarlane, M., Xi, P., Wallace, B., Habashy, K., Huq, S., Goubran, R. A., & Knoefel, F. D. (2022) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2022.3202435 · Cited by 7 · see citing works

An evolutionary ensemble learning for diagnosing COVID-19 via cough signals

Najaran, M. H. T. (2023) · Intelligent Medicine · doi:10.1016/j.imed.2023.01.001 · Cited by 7 · see citing works

Chatbots for the Detection of Covid-19: A Systematic Review of the Literature

Albites-Tapia, A., Gamboa-Cruzado, J., Almeyda-Ortiz, J., & Lázaro, A. M. (2022) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2022.01304113 · Cited by 7 · see citing works

Deep-Learning-Based COVID-19 Detection: Challenges and Future Directions

Arshad, Q., Khan, W. Z., Azam, F., & Khan, M. K. (2022) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2022.3224097 · Cited by 7 · see citing works

Bibliometric analysis of the use of artificial intelligence in COVID‐19 based on scientific studies

Karbasi, Z., Hajesmaeel‐Gohari, S., & Sabahi, A. (2023) · Health Science Reports · doi:10.1002/hsr2.1244 · Cited by 10 · see citing works

Prediction of COVID-19 Hospitalization and Mortality Using Artificial Intelligence

Halwani, M. A., & Halwani, M. A. (2024) · Healthcare · doi:10.3390/healthcare12171694 · Cited by 6 · see citing works

An Overview of Augmenting AI Application in Healthcare

Chellasamy, A., & Nagarathinam, A. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-19-0898-9_31 · Cited by 6 · see citing works

Mutation Prediction for Coronaviruses Using Genome Sequence and Recurrent Neural Networks

Pushkar, P., Ananth, C., Nagrath, P., Al‐Amri, J. F., Vividha, & Nayyar, A. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2022.026205 · Cited by 6 · see citing works

Catastrophic COVID-19 Second Wave in Aligarh: Lessons learnt

Rahman, S. Z., Khan, S., & Shujauddin (2021) · Bangladesh Journal of Medical Science · doi:10.3329/bjms.v20i5.55411 · Cited by 6 · see citing works

An Adaptive Research Approach to COVID-19 Forecasting for Regional Health Systems in EnglandPreprint

Betcheva, L., Erhun, F., Feylessoufi, A., Fryers, P., Gonçalves, P., Jiang, H., Kattuman, P. A., Pape, T., Pari, A. A. A., Scholtes, S., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3695258 · Cited by 6 · see citing works

A genomic signal processing approach for identification and classification of coronavirus sequences

Khodaei, A., Tazehkand, B. M., & Sharifi, H. (2024) · Soft Computing · doi:10.1007/s00500-024-10377-y · Cited by 5 · see citing works

Tough Times, Extraordinary Care: A Critical Assessment of Chatbot-Based Digital Mental Healthcare Solutions for Older Persons to Fight Against Pandemics Like COVID-19

Lu, G., Kubli, M., Moist, R., Zhang, X., Li, N., Gächter, I., Wozniak, T., & Fleck, M. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-2377-6_68 · Cited by 5 · see citing works

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research DirectionsPreprint

Nguyen, T. T. (2020) · Figshare · doi:10.6084/m9.figshare.12127020

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

Chen, J., Li, K., Zhang, Z., Li, K., & Yu, P. S. (2021) · ACM Computing Surveys · doi:10.1145/3465398 · Cited by 145 · see citing works

Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic

El-Rashidy, N. M., Abdelrazek, S. M., Abuhmed, T., Amer, E., Ali, F., Hu, J. W., & El–Sappagh, S. (2021) · Diagnostics · doi:10.3390/diagnostics11071155 · Cited by 61 · see citing works

Applications of Artificial Intelligence in Combating Covid-19: A Systematic Review

Enughwure, A. A., & Febaide, I. C. (2020) · OALib · doi:10.4236/oalib.1106628 · Cited by 19 · see citing works

A STUDY ON ARTIFICIAL INTELLIGENCE IN THE TIMES OF COVID-19

(2020) · International Journal for Research in Engineering Application & Management · doi:10.35291/2454-9150.2020.0469 · Cited by 1 · see citing works