Reference health
Artificial Intelligence in the Fight Against COVID-19: Scoping Review
1 of 76 checkable references need attention · checked 2026-08-16
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
34 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
References needing attention
does not resolve to a known work10.26434/chemrxiv.11829102
The 75 checked references that resolve
resolves10.2196/10775
Artificial Intelligence for Diabetes Management and Decision Support: Literature Review
resolves10.1152/physiolgenomics.00029.2020
Artificial intelligence and machine learning to fight COVID-19
resolves10.1613/jair.1.12162
Mapping the landscape of Artificial Intelligence applications against COVID-19
resolves10.1007/s10916-020-01562-1
AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data
resolves10.1109/RBME.2020.2987975
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation, and Diagnosis for COVID-19
resolves10.1101/2020.03.24.20041020
Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection
resolves10.7326/M18-0850
PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
resolves10.1101/2020.02.25.20021568
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography: a prospective study
resolves10.1101/2020.03.28.20046045
Deep Learning-Based Recognizing COVID-19 and other Common Infectious Diseases of the Lung by Chest CT Scan Images
resolves10.1101/2020.03.20.20039834
Development and Evaluation of an AI System for COVID-19 Diagnosis
resolves10.1101/2020.03.19.20039354
AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks
resolves10.1148/radiol.2020200905
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
resolves10.1101/2020.02.14.20023028
A deep learning algorithm using CT images to screen for Corona Virus Disease (COVID-19)
resolves10.1101/2020.03.24.20042317
A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis
resolves10.1101/2020.02.23.20026930
Deep learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) with CT images
resolves10.1101/2020.03.12.20027185
Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label
resolves10.1101/2020.03.24.20043117
Improved deep learning model for differentiating novel coronavirus pneumonia and influenza pneumonia
resolves10.1101/2020.03.30.20047456
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
resolves10.1007/s13246-020-00865-4
Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks
resolves10.1101/2020.03.26.20044610
The diagnostic evaluation of Convolutional Neural Network (CNN) for the assessment of chest X-ray of patients infected with COVID-19
resolves10.1016/j.compbiomed.2020.103792
Automated detection of COVID-19 cases using deep neural networks with X-ray images
resolves10.20944/preprints202003.0300.v1
Detection of Coronavirus Disease (COVID-19) Based on Deep Features
resolves10.1016/j.mehy.2020.109761
COVIDiagnosis-Net: Deep Bayes-SqueezeNet based diagnosis of the coronavirus disease 2019 (COVID-19) from X-ray images
resolves10.1038/s41598-020-76550-z
COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images
resolves10.1101/2020.03.18.20035816
Development and utilization of an intelligent application for aiding COVID-19 diagnosis
resolves10.1101/2020.03.19.20039099
A Novel Triage Tool of Artificial Intelligence-Assisted Diagnosis Aid System for Suspected COVID-19 Pneumonia in Fever Clinics
resolves10.1101/2020.03.13.990242
Classification and Specific Primer Design for Accurate Detection of SARS-CoV-2 Using Deep Learning
resolves10.1101/2020.03.11.986836
A data-driven drug repositioning framework discovered a potential therapeutic agent targeting COVID-19
resolves10.2139/ssrn.3561442
Large-Scale Ligand-Based Virtual Screening for SARS-CoV-2 Inhibitors Using Deep Neural Networks
resolves10.1101/2020.03.14.992156
Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning
resolves10.31219/osf.io/6kpbg
Deep learning-based computational drug discovery to inhibit the RNA Dependent RNA Polymerase: application to SARS-CoV and COVID-19
resolves10.1101/2020.03.03.972133
AI-aided design of novel targeted covalent inhibitors against SARS-CoV-2
resolves10.1002/minf.202000028
Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compounds
resolves10.20944/preprints202002.0061.v1
Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov
resolves10.1101/2020.01.31.929547
Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model
resolves10.20944/preprints202002.0230.v1
Evaluating the Traditional Chinese Medicine (TCM) Officially Recommended in China for COVID-19 Using Ontology-Based Side-Effect Prediction Framework (OSPF) and Deep Learning
resolves10.1101/2020.02.04.934232
Design of multi epitope-based peptide vaccine against E protein of human COVID-19: An immunoinformatics approach
resolves10.1101/2020.03.20.000141
COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning
resolves10.1101/2020.03.30.015164
Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an
<i>in silico</i>
approach
resolves10.1101/2020.02.05.935072
The Essential Facts of Wuhan Novel Coronavirus Outbreak in China and Epitope-based Vaccine Designing against COVID-19
resolves10.1101/2020.03.25.008904
Modeling of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Proteins by Machine Learning and Physics-Based Refinement
resolves10.1101/2020.03.15.992438
Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection
resolves10.1101/2020.03.25.20043505
Machine Learning Approach for Confirmation of COVID-19 Cases: Positive, Negative, Death and Release
resolves10.1101/2020.03.23.20041608
Multiple-Input Deep Convolutional Neural Network Model for COVID-19 Forecasting in China
resolves10.1101/2020.03.30.20046227
Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020: ARIMA Model with Machine Learning Approach
resolves10.1101/2020.03.18.20038117
Predicting the epidemic trend of COVID-19 in China and across the world using the machine learning approach
resolves10.1101/2020.03.30.20047472
COVID-19 Epidemic in Switzerland: Growth Prediction and Containment Strategy Using Artificial Intelligence and Big Data
resolves10.2807/1560-7917.ES.2020.25.10.2000180
Estimating the asymptomatic proportion of coronavirus disease 2019 (COVID-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020
resolves10.3390/su12062427
Investigating a Serious Challenge in the Sustainable Development Process: Analysis of Confirmed cases of COVID-19 (New Type of Coronavirus) Through a Binary Classification Using Artificial Intelligence and Regression Analysis
resolves10.1186/s40249-020-00649-8
Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus
resolves10.1101/2020.02.03.932350
Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
resolves10.1148/ryct.2020200075
Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach
resolves10.1101/2020.03.09.20032219
Data-driven discovery of a clinical route for severity detection of COVID-19 pediatric cases
resolves10.1101/2020.03.17.20037515
A Tool to Early Predict Severe Corona Virus Disease 2019 (COVID-19) : A Multicenter Study using the Risk Nomogram in Wuhan and Guangdong, China
resolves10.1101/2020.03.30.20047308
Predicting Mortality Risk in Patients with COVID-19 Using Artificial Intelligence to Help Medical Decision-Making
resolves10.1101/2020.02.27.20028027
A machine learning-based model for survival prediction in patients with severe COVID-19 infection
resolves10.1101/2020.03.25.20043331
A Machine Learning Model Reveals Older Age and Delayed Hospitalization as Predictors of Mortality in Patients with COVID-19
resolves10.1101/2020.02.29.20029603
Machine learning-based CT radiomics model for predicting hospital stay in patients with pneumonia associated with SARS-CoV-2 infection: A multicenter study
The 34 references without a DOI — listed, not checked
no DOI — not checkedCoronavirus disease (COVID-19): situation report– 121World Health Organization20202020-04-19https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200520-covid-19-sitrep-121.pdf
no DOI — not checkedref11
no DOI — not checkedref14
no DOI — not checkedFridmanLDeep learning state of the art (2020)YouTube20202020-07-23https://www.youtube.com/watch?v=0VH1Lim8gL8&list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf
no DOI — not checkedACMSIGGRAPHDeep learning: a crash courseYouTube20182020-07-23https://www.youtube.com/watch?v=r0Ogt-q956I
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no DOI — not checkedref105
no DOI — not checkedRolling updates on coronavirus disease (COVID-19)World Health Organization20202020-05-21https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen
no DOI — not checkedref107
no DOI — not checkedKiwibot20202020-05-22https://www.kiwibot.com/
no DOI — not checkedWhiteboard Coordinator20202020-05-22https://wbcoordinator.com/
no DOI — not checkedEHTERAZApp Store20202020-05-22https://apps.apple.com/us/app/ehteraz/id1507150431
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