Emerging Technologies for Use in the Study, Diagnosis, and Treatment of Patients with COVID-19

COVID-19: consider cytokine storm syndromes and immunosuppression

Mehta, P., McAuley, D. F., Brown, M., Sanchez, E., Tattersall, R. S., & Manson, J. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30628-0 · Cited by 9,664 · see citing works

mRNA vaccines — a new era in vaccinology

Pardi, N., Hogan, M. J., Porter, F. W., & Weissman, D. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2017.243 · Cited by 4,667 · see citing works

Artificial intelligence in radiology

Hosny, A., Parmar, C., Quackenbush, J., Schwartz, L. H., & Aerts, H. J. W. L. (2018) · Nature Reviews Cancer · doi:10.1038/s41568-018-0016-5 · Cited by 3,803 · see citing works

COVID-19 and mental health: A review of the existing literature

Rajkumar, R. P. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102066 · Cited by 3,574 · see citing works

Key challenges for delivering clinical impact with artificial intelligence

Kelly, C. J., Karthikesalingam, A., Suleyman, M., Corrado, G., & King, D. (2019) · BMC Medicine · doi:10.1186/s12916-019-1426-2 · Cited by 3,136 · see citing works

Effective treatment of severe COVID-19 patients with tocilizumab

Xu, X., Han, M., Li, T., Sun, W., Wang, D., Fu, B., Zhou, Y., Zheng, X., Yang, Y., Li, X., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2005615117 · Cited by 2,636 · see citing works

Pathological inflammation in patients with COVID-19: a key role for monocytes and macrophages

Merad, M., & Martin, J. C. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0331-4 · Cited by 2,472 · see citing works

Pharmacologic Treatments for Coronavirus Disease 2019 (COVID-19)

Sanders, J. M., Monogue, M. L., Jodlowski, T. Z., & Cutrell, J. B. (2020) · JAMA · doi:10.1001/jama.2020.6019 · Cited by 2,357 · 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

The COVID-19 vaccine development landscape

Le, T. T., Andreadakis, Z., Kumar, A., Román, R. G., Tollefsen, S., Saville, M. K., & Mayhew, S. (2020) · Nature Reviews Drug Discovery · doi:10.1038/d41573-020-00073-5 · Cited by 1,959 · see citing works

Developing Covid-19 Vaccines at Pandemic Speed

Lurie, N., Saville, M., Hatchett, R., & Halton, J. (2020) · New England Journal of Medicine · doi:10.1056/nejmp2005630 · Cited by 1,557 · see citing works

Site-specific glycan analysis of the SARS-CoV-2 spike

Watanabe, Y., Allen, J. D., Wrapp, D., McLellan, J. S., & Crispin, M. (2020) · Science · doi:10.1126/science.abb9983 · Cited by 1,507 · 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

COVID-19 transforms health care through telemedicine: Evidence from the field

Mann, D. M., Chen, J., Chunara, R., Testa, P. A., & Nov, O. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa072 · Cited by 1,361 · see citing works

A human monoclonal antibody blocking SARS-CoV-2 infection

Wang, C., Li, W., Drabek, D., Okba, N. M. A., van Haperen, R., Osterhaus, A. D. M. E., van Kuppeveld, F. J. M., Haagmans, B. L., Grosveld, F. G., & Bosch, B. (2020) · Nature Communications · doi:10.1038/s41467-020-16256-y · Cited by 1,115 · 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

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-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

Internet of things (IoT) applications to fight against COVID-19 pandemic

Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.04.041 · Cited by 664 · 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

COVID-19, an emerging coronavirus infection: advances and prospects in designing and developing vaccines, immunotherapeutics, and therapeutics

Dhama, K., Sharun, K., Tiwari, R., Dadar, M., Malik, Y. S., Singh, K. P., & Chaicumpa, W. (2020) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1735227 · Cited by 622 · see citing works

Combating COVID-19—The role of robotics in managing public health and infectious diseases

Yang, G., Nelson, B. J., Murphy, R. R., Choset, H., Christensen, H. I., Collins, S. H., Dario, P., Goldberg, K., Ikuta, K., Jacobstein, N., et al. (2020) · Science Robotics · doi:10.1126/scirobotics.abb5589 · Cited by 564 · see citing works

The race for coronavirus vaccines: a graphical guide

Callaway, E. (2020) · Nature · doi:10.1038/d41586-020-01221-y · Cited by 492 · see citing works

On the responsible use of digital data to tackle the COVID-19 pandemic

Ienca, M., & Vayena, E. (2020) · Nature Medicine · doi:10.1038/s41591-020-0832-5 · Cited by 491 · 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

Special report: The simulations driving the world’s response to COVID-19

Adam, D. (2020) · Nature · doi:10.1038/d41586-020-01003-6 · Cited by 447 · 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

Artificial Intelligence Forecasting of Covid-19 in China

Hu, Z., Ge, Q., Li, S., & Xiong, M. (2020) · International Journal of Educational Excellence · doi:10.18562/ijee.054 · Cited by 385 · see citing works

Computational Design of ACE2-Based Peptide Inhibitors of SARS-CoV‑2

Han, Y., & Král, P. (2020) · ACS Nano · doi:10.1021/acsnano.0c02857 · Cited by 378 · see citing works

Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

Naudé, W. (2020) · AI & SOCIETY · doi:10.1007/s00146-020-00978-0 · Cited by 368 · see citing works

Insights from nanomedicine into chloroquine efficacy against COVID-19

Hu, Y., Frieman, M. B., & Wolfram, J. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0674-9 · Cited by 321 · see citing works

Replicating and non-replicating viral vectors for vaccine development

Robert-Guroff, M. (2007) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2007.10.010 · Cited by 276 · see citing works

COVID-19 and the role of 3D printing in medicine

Tino, R., Moore, R. A., Antoline, S., et al. (2020) · 3D Printing in Medicine · doi:10.1186/s41205-020-00064-7 · Cited by 247 · see citing works

Population-Level Interest and Telehealth Capacity of US Hospitals in Response to COVID-19: Cross-Sectional Analysis of Google Search and National Hospital Survey Data

Hong, Y.-R., Lawrence, J., Williams Jr, D., & Mainous III, A. (2020) · JMIR Public Health and Surveillance · doi:10.2196/18961 · Cited by 236 · see citing works

Novel coronavirus (COVID-19): Leveraging telemedicine to optimize care while minimizing exposures and viral transmission

Chauhan, V., Galwankar, S., Arquilla, B., Garg, M., Somma, S., El-Menyar, A., Krishnan, V., Gerber, J., Holland, R., & Stawicki, S. (2020) · Journal of Emergencies Trauma and Shock · doi:10.4103/jets.jets_32_20 · Cited by 234 · see citing works

Custom-made 3D-printed face masks in case of pandemic crisis situations with a lack of commercially available FFP2/3 masks

Swennen, G. R. J., Pottel, L., & Haers, P. E. J. J. (2020) · International Journal of Oral and Maxillofacial Surgery · doi:10.1016/j.ijom.2020.03.015 · Cited by 211 · see citing works

Global Preparedness Against COVID-19: We Must Leverage the Power of Digital Health

Mahmood, S., Hasan, K., Carras, M. C., & Labrique, A. B. (2020) · JMIR Public Health and Surveillance · doi:10.2196/18980 · Cited by 201 · see citing works

Peptide Nanoparticles as Novel Immunogens: Design and Analysis of a Prototypic Severe Acute Respiratory Syndrome Vaccine

Pimentel, T. A. P. F., Yan, Z., Jeffers, S. A., Holmes, K. V., Hodges, R. S., & Burkhard, P. (2008) · Chemical Biology & Drug Design · doi:10.1111/j.1747-0285.2008.00746.x · Cited by 182 · see citing works

Applications of 3D Printing Technology to Address COVID-19–Related Supply Shortages

Ishack, S., & Lipner, S. R. (2020) · The American Journal of Medicine · doi:10.1016/j.amjmed.2020.04.002 · Cited by 168 · see citing works

Outbreak dynamics of COVID-19 in China and the United States

Peirlinck, M., Linka, K., Costabal, F. S., & Ellen Kuhl, A. (2020) · Biomechanics and Modeling in Mechanobiology · doi:10.1007/s10237-020-01332-5 · Cited by 152 · see citing works

Combining Point-of-Care Diagnostics and Internet of Medical Things (IoMT) to Combat the COVID-19 Pandemic

Yang, T., Gentile, M., Shen, C., et al. (2020) · Diagnostics · doi:10.3390/diagnostics10040224 · Cited by 140 · see citing works

Can mathematical modelling solve the current Covid-19 crisis?

Panovska‐Griffiths, J. (2020) · BMC Public Health · doi:10.1186/s12889-020-08671-z · Cited by 133 · see citing works

Squalene-based multidrug nanoparticles for improved mitigation of uncontrolled inflammation in rodents

Dormont, F., Brusini, R., Cailleau, C., Reynaud, F., Peramo, A., Gendron, A., Mougin, J., Gaudin, F., Varna, M., & Couvreur, P. (2020) · Science Advances · doi:10.1126/sciadv.aaz5466 · Cited by 123 · see citing works

Artificial Intelligence Forecasting of Covid-19 in ChinaPreprint

Hu, Z., Ge, Q., Li, S., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2002.07112 · Cited by 117 · see citing works

Robot assisted surgery during the COVID-19 pandemic, especially for gynecological cancer: a statement of the Society of European Robotic Gynaecological Surgery (SERGS)

Kimmig, R., Verheijen, R. H. M., & Rudnicki, M. (2020) · Journal of Gynecologic Oncology · doi:10.3802/jgo.2020.31.e59 · Cited by 117 · see citing works

COVID-19 vaccines: breaking record times to first-in-human trials

Kim, Y. C., Dema, B., & Reyes-Sandoval, A. (2020) · npj Vaccines · doi:10.1038/s41541-020-0188-3 · Cited by 117 · see citing works

Potential 2019-nCoV 3C-like Protease Inhibitors Designed Using Generative Deep Learning ApproachesPreprint

Zhavoronkov, A., Aladinskiy, V., Zhebrak, A., Zagribelnyy, B. A., Terentiev, V. A., Bezrukov, D., Polykovskiy, D. A., Shayakhmetov, R., Filimonov, A., Orekhov, P., et al. (2020) · ChemRxiv · doi:10.26434/chemrxiv.11829102.v1 · Cited by 106 · see citing works

Forecasting and Evaluating Multiple Interventions for COVID-19 Worldwide

Hu, Z., Ge, Q., Li, S., Boerwinkle, E., Li, J., & Xiong, M. (2020) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2020.00041 · Cited by 101 · see citing works

Call for transparency of COVID-19 models

Barton, C. M., Alberti, M., Ames, D. P., Occhipinti, J., Bales, J. D., Burke, E., Chen, M., Diallo, S. Y., Earn, D. J. D., Fath, B. D., et al. (2020) · Science · doi:10.1126/science.abb8637 · Cited by 100 · see citing works

3-D Printed Protective Equipment during COVID-19 Pandemic

Wesemann, C., Pieralli, S., Fretwurst, T., Nold, J., Nelson, K., Schmelzeisen, R., Hellwig, E., & Spies, B. C. (2020) · Materials · doi:10.3390/ma13081997 · Cited by 92 · see citing works

A model society: maths, models and expertise in viral outbreaks

Rhodes, T., Lancaster, K., & Rosengarten, M. (2020) · Critical Public Health · doi:10.1080/09581596.2020.1748310 · Cited by 88 · see citing works

Toward a novel design for coronavirus detection and diagnosis system using iot based drone technology

Mohammed, M. N., Hazairin, N. A., Al-Zubaidi, S., et al. (2020) · International Journal of Psychosocial Rehabilitation · doi:10.37200/ijpr/v24i7/pr270220 · Cited by 82 · see citing works

SBDiEM: A new mathematical model of infectious disease dynamics

Bekiros, S. D., & Kouloumpou, D. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109828 · Cited by 81 · see citing works

Repurposing therapeutics for COVID-19: Rapid prediction of commercially available drugs through machine learning and docking

Mohapatra, S., Nath, P., Chatterjee, M., Das, N., Kalita, D., Roy, P., & Satapathi, S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0241543 · Cited by 77 · see citing works

Boosting the arsenal against COVID-19 through computational drug repurposing

Ciliberto, G., & Cardone, L. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.04.005 · Cited by 60 · see citing works

Mathematic modeling of COVID-19 in the United States

Tang, Y., & Wang, S. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1760146 · Cited by 58 · see citing works

The Deployment of Drones in Sending Drugs and Patient Blood Samples COVID-19

Anggraeni, S. W., Maulidina, A., Dewi, M. W., et al. (2020) · Indonesian Journal of Science and Technology · doi:10.17509/ijost.v5i2.24462 · Cited by 35 · see citing works

Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care

Wang, Y., Lu, X., Zhang, Y., Zhang, X., Wang, K., Liu, J., Li, X., Hu, R., Meng, X., Dou, S., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.102724 · Cited by 34 · see citing works

Repurposing Therapeutics for COVID-19: Rapid Prediction of Commercially available drugs through Machine Learning and DockingPreprint

Mohapatra, S., Nath, P., Chatterjee, M., et al. (2020) · medRxiv · doi:10.1101/2020.04.05.20054254 · Cited by 31 · see citing works

Big data integration and analytics to prevent a potential hospital outbreak of COVID-19 in Taiwan

Chen, F., Feng, M., Chen, T., et al. (2020) · Journal of Microbiology Immunology and Infection · doi:10.1016/j.jmii.2020.04.010 · Cited by 23 · see citing works

Logistics of Aggressive Community Screening for Coronavirus 2019

Kaplan, E. H., & Forman, H. P. (2020) · JAMA Health Forum · doi:10.1001/jamahealthforum.2020.0565 · Cited by 17 · see citing works

Report Proposes COVID-19 National Surveillance Plan

Stephenson, J. (2020) · JAMA Health Forum · doi:10.1001/jamahealthforum.2020.0499 · Cited by 6 · see citing works

Robotics cyber security: vulnerabilities, attacks, countermeasures, and recommendations

Yaacoub, J.-P. A., Noura, H. N., Salman, O., & Chehab, A. (2022) · International Journal of Information Security · doi:10.1007/s10207-021-00545-8 · Cited by 320 · see citing works

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

Tayarani N., M.-H. (2021) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110338 · Cited by 210 · see citing works

An Introduction to Telemedicine

Chughtai, S. (2021) · Journal of Pakistan Society of Internal Medicine. · doi:10.70302/jpsim.v2i2.2140 · Cited by 225 · see citing works

The Telemedicine Monitor and The Telemedicine 200

Bashshur, R. L. (1995) · Telemedicine Journal · doi:10.1089/tmj.1.1995.1.293

Telemedicine Visits to Children During the Pandemic: Practice-Based Telemedicine Versus Telemedicine-Only Providers

Ray, K. N., Wittman, S. R., Yabes, J. G., et al. (2022) · Academic Pediatrics · doi:10.1016/j.acap.2022.05.010 · Cited by 10 · see citing works

Telemedicine in Otolaryngology in the COVID-19 Era: A Year Out

Ohlstein, J. F., Ahmed, O. G., Garner, J. J., et al. (2021) · Cureus · doi:10.7759/cureus.20794 · Cited by 5 · see citing works

Implementation of Telemedicine in Pediatric and Neonatal Transport

Curfman, A. L., Groenendyk, J., Markham, C. M., Quayle, K. S., Turmelle, M. P., Tieken, B., Brancato, C., & Saunders, S. (2020) · Air Medical Journal · doi:10.1016/j.amj.2020.04.008 · Cited by 31 · see citing works