Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Authors
Keywords
Artificial intelligence, Machine learning, COVID-19, SARS-CoV-2, Deep learning, Drug repurposing
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 185, Issue -, Pages 115695
Publisher
Elsevier BV
Online
2021-08-04
DOI
10.1016/j.eswa.2021.115695
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)
- (2021) Feng Pan et al. Scientific Reports
- An Ensemble of Global and Local-Attention Based Convolutional Neural Networks for COVID-19 Diagnosis on Chest X-ray Images
- (2021) Ahmed Afifi et al. Symmetry-Basel
- Developing an Efficient Deep Neural Network for Automatic Detection of COVID-19 Using Chest X-ray Images
- (2021) Sobhan Sheykhivand et al. Alexandria Engineering Journal
- Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks
- (2021) Ivan Lorencin et al. Journal of Personalized Medicine
- Fast automated detection of COVID-19 from medical images using convolutional neural networks
- (2021) Shuang Liang et al. Communications Biology
- Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification
- (2021) Feng Shi et al. PHYSICS IN MEDICINE AND BIOLOGY
- Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
- (2020) Tao Ai et al. RADIOLOGY
- Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
- (2020) Kang Zhang et al. CELL
- Role of Intelligent Computing in COVID-19 Prognosis: A State-of-the-Art Review
- (2020) Swapna rekha Hanumanthu CHAOS SOLITONS & FRACTALS
- A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis
- (2020) Shuo Wang et al. EUROPEAN RESPIRATORY JOURNAL
- Real-time RT-PCR in COVID-19 detection: issues affecting the results
- (2020) Alireza Tahamtan et al. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS
- Peptide-like and small-molecule inhibitors against Covid-19
- (2020) Suyash Pant et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases
- (2020) Ioannis D. Apostolopoulos et al. Journal of Medical and Biological Engineering
- Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
- (2020) Xueyan Mei et al. NATURE MEDICINE
- Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
- (2020) Gurjit S. Randhawa et al. PLoS One
- Examining the Effect of Social Distancing on the Compound Growth Rate of SARS-CoV-2 at the County Level (United States) Using Statistical Analyses and a Random Forest Machine Learning Model
- (2020) J.S. Cobb et al. PUBLIC HEALTH
- World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)
- (2020) Catrin Sohrabi et al. International Journal of Surgery
- Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus
- (2020) Xiao-Li Qiang et al. Infectious Diseases of Poverty
- Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
- (2020) Zifeng Yang et al. Journal of Thoracic Disease
- Artificial intelligence approach fighting COVID-19 with repurposing drugs
- (2020) Yi-Yu Ke et al. Biomedical Journal
- Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks
- (2020) Barenya Bikash Hazarika et al. APPLIED SOFT COMPUTING
- Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction
- (2020) Simon James Fong et al. APPLIED SOFT COMPUTING
- A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
- (2020) Majid Nour et al. APPLIED SOFT COMPUTING
- Deep learning in generating radiology reports: A survey
- (2020) Maram Mahmoud A. Monshi et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Time series forecasting of COVID-19 transmission in Canada using LSTM networks
- (2020) Vinay Kumar Reddy Chimmula et al. CHAOS SOLITONS & FRACTALS
- Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
- (2020) Matheus Henrique Dal Molin Ribeiro et al. CHAOS SOLITONS & FRACTALS
- Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
- (2020) Dilbag Singh et al. EUROPEAN JOURNAL OF CLINICAL MICROBIOLOGY & INFECTIOUS DISEASES
- OUTBREAK of novel corona virus disease (COVID-19): Antecedence and aftermath
- (2020) Ankit Awasthi et al. EUROPEAN JOURNAL OF PHARMACOLOGY
- Combination of four clinical indicators predicts the severe/critical symptom of patients infected COVID-19
- (2020) Liping Sun et al. JOURNAL OF CLINICAL VIROLOGY
- An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report
- (2020) Jihad S Obeid et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Discovery of SARS-CoV-2 antiviral drugs through large-scale compound repurposing
- (2020) Laura Riva et al. NATURE
- Predicting COVID-19 in China Using Hybrid AI Model
- (2020) Nanning Zheng et al. IEEE Transactions on Cybernetics
- Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection
- (2020) Müşerref Duygu Saçar Demirci et al. PeerJ
- Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects
- (2020) O.S. Albahri et al. Journal of Infection and Public Health
- Chest CT in COVID-19 pneumonia: A review of current knowledge
- (2020) C. Jalaber et al. Diagnostic and Interventional Imaging
- Learning distinctive filters for COVID-19 detection from chest X-ray using shuffled residual CNN
- (2020) R. Karthik et al. APPLIED SOFT COMPUTING
- Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
- (2020) Ramon Gomes da Silva et al. CHAOS SOLITONS & FRACTALS
- COVID‐19 drug repurposing: A review of computational screening methods, clinical trials, and protein interaction assays
- (2020) Xueqing Wang et al. MEDICINAL RESEARCH REVIEWS
- Role of computed tomography in COVID-19
- (2020) Gianluca Pontone et al. Journal of Cardiovascular Computed Tomography
- Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications
- (2020) Nahla Khamis Ibrahim Journal of Infection and Public Health
- Artificial intelligence and COVID-19: A multidisciplinary approach
- (2020) Abhimanyu S. Ahuja et al. Integrative Medicine Research
- COVID-19 therapy: What weapons do we bring into battle?
- (2020) Sinara Mônica Vitalino de Almeida et al. BIOORGANIC & MEDICINAL CHEMISTRY
- A systematic review of convolutional neural network-based structural condition assessment techniques
- (2020) Sandeep Sony et al. ENGINEERING STRUCTURES
- Drug repurposing: new strategies for addressing COVID-19 outbreak
- (2020) Pravin Shende et al. Expert Review of Anti-Infective Therapy
- A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks
- (2020) Sergio Varela-Santos et al. INFORMATION SCIENCES
- Applications of Artificial Intelligence in Transport: An Overview
- (2019) Rusul Abduljabbar et al. Sustainability
- An Efficient Deep Learning Approach to Pneumonia Classification in Healthcare
- (2019) Okeke Stephen et al. Journal of Healthcare Engineering
- Predicting air quality with deep learning LSTM: Towards comprehensive models
- (2019) Ricardo Navares et al. Ecological Informatics
- Artificial intelligence in drug development: present status and future prospects
- (2018) Kit-Kay Mak et al. DRUG DISCOVERY TODAY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now