The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic

Intelligent system for COVID-19 prognosis: a state-of-the-art survey

(2021) Janmenjoy Nayak et al.   APPLIED INTELLIGENCE

ADOPT: automatic deep learning and optimization-based approach for detection of novel coronavirus COVID-19 disease using X-ray images

(2021) Gaurav Dhiman et al.   JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS

A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19)

(2021) Feng Pan et al.   Scientific Reports

Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning

(2021) Alejandro Lopez-Rincon et al.   Scientific Reports

An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study

(2021) Zikun Yang et al.   Scientific Reports

Training deep quantum neural networks

(2020) Kerstin Beer et al.   Nature Communications

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

(2020) Kang Zhang et al.   CELL

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

(2020) Zlatan Car et al.   Computational and Mathematical Methods in Medicine

Learning from Large-Scale Wearable Device Data for Predicting Epidemics Trend of COVID-19

(2020) Guokang Zhu et al.   DISCRETE DYNAMICS IN NATURE AND SOCIETY

Digital Smartphone Tracking for COVID-19

(2020) I. Glenn Cohen et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

(2020) Xueyan Mei et al.   NATURE MEDICINE

Digital technology and COVID-19

(2020) Daniel Shu Wei Ting et al.   NATURE MEDICINE

Artificial intelligence and machine learning to fight COVID-19

(2020) Ahmad Alimadadi et al.   PHYSIOLOGICAL GENOMICS

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

(2020) Gurjit S. Randhawa et al.   PLoS One

COVID-19 on the Chest Radiograph: A Multi-Reader Evaluation of an AI System

(2020) Keelin Murphy et al.   RADIOLOGY

Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

(2020) Lin Li et al.   RADIOLOGY

Vaccine designers take first shots at COVID-19

(2020) Jon Cohen   SCIENCE

Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death

(2020) Ayan Chatterjee et al.   SENSORS

Network-based drug repurposing for novel coronavirus 2019-nCoV/SARS-CoV-2

(2020) Yadi Zhou et al.   Cell Discovery

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

Artificial intelligence in prediction of mental health disorders induced by the COVID-19 pandemic among health care workers

(2020) Krešimir Ćosić et al.   CROATIAN MEDICAL JOURNAL

Leveraging IoTs and Machine Learning for Patient Diagnosis and Ventilation Management in the Intensive Care Unit

(2020) Gregory B. Rehm et al.   IEEE PERVASIVE COMPUTING

Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning

(2020) Hengyuan Kang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2020) Xinggang Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2020) Yujin Oh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

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

(2020) Subhankar Roy et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

A Human Support Robot for the Cleaning and Maintenance of Door Handles Using a Deep-Learning Framework

(2020) Balakrishnan Ramalingam et al.   SENSORS

Early triage of critically ill COVID-19 patients using deep learning

(2020) Wenhua Liang et al.   Nature Communications

Tracing and analysis of 288 early SARS-CoV-2 infections outside China: A modeling study

(2020) Francesco Pinotti et al.   PLOS MEDICINE

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

(2020) Edison Ong et al.   Frontiers in Immunology

Machine learning model to project the impact of COVID-19 on US motor gasoline demand

(2020) Shiqi Ou et al.   Nature Energy

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

(2020) Xiaowei Xu et al.   Engineering

Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019

(2020) Lu-shan Xiao et al.   Frontiers in Bioengineering and Biotechnology

HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images

(2020) Mohamed Abdel-Basset et al.   APPLIED SOFT COMPUTING

Use of Machine Learning and Artificial Intelligence to predict SARS-CoV-2 infection from Full Blood Counts in a population

(2020) Abhirup Banerjee et al.   INTERNATIONAL IMMUNOPHARMACOLOGY

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

(2020) Shervin Minaee et al.   MEDICAL IMAGE ANALYSIS

Artificial intelligence, drug repurposing and peer review

(2020) Jeremy M. Levin et al.   NATURE BIOTECHNOLOGY

Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

(2020) Zheng Wang et al.   PATTERN RECOGNITION

Analytical insights of COVID-19 pandemic

(2020) Gayathri Chellasamy et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

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

(2020) Cheng Jin et al.   Nature Communications

A network model of Italy shows that intermittent regional strategies can alleviate the COVID-19 epidemic

(2020) Fabio Della Rossa et al.   Nature Communications

Immunoinformatic identification of B cell and T cell epitopes in the SARS-CoV-2 proteome

(2020) Stephen N. Crooke et al.   Scientific Reports

Lio-A Personal Robot Assistant for Human-Robot Interaction and Care Applications

(2020) Justinas Miseikis et al.   IEEE Robotics and Automation Letters

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

(2020) Bo Wang et al.   APPLIED SOFT COMPUTING

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

(2020) Mohamed Abdel-Basset et al.   KNOWLEDGE-BASED SYSTEMS

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

(2020) Mihaela van der Schaar et al.   MACHINE LEARNING

A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic

(2020) Mohamed Loey et al.   MEASUREMENT

Artificial intelligence predicts the immunogenic landscape of SARS-CoV-2 leading to universal blueprints for vaccine designs

(2020) Brandon Malone et al.   Scientific Reports

Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

(2020) Marek Prachar et al.   Scientific Reports

Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets

(2020) Ge Liu et al.   Cell Systems

Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections

(2020) Meenu Gupta et al.   APPLIED SOFT COMPUTING

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Exploiting machine learning for end-to-end drug discovery and development

(2019) Sean Ekins et al.   NATURE MATERIALS

How to make more from exposure data? An integrated machine learning pipeline to predict pathogen exposure

(2019) Nicholas M. Fountain‐Jones et al.   JOURNAL OF ANIMAL ECOLOGY

A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study

(2019) Jiawei Li et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Your evidence? Machine learning algorithms for medical diagnosis and prediction

(2019) Bert Heinrichs et al.   HUMAN BRAIN MAPPING

Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results

(2019) Ruud J. G. van Sloun et al.   IEEE Journal of Biomedical and Health Informatics

Real-time processing of social media with SENTINEL: A syndromic surveillance system incorporating deep learning for health classification

(2018) Ovidiu Șerban et al.   INFORMATION PROCESSING & MANAGEMENT

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

(2018) Jake Cowton et al.   SENSORS

Predicting Infectious Disease Using Deep Learning and Big Data

(2018) Sangwon Chae et al.   International Journal of Environmental Research and Public Health

A guide to deep learning in healthcare

(2018) Andre Esteva et al.   NATURE MEDICINE

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology

(2017) Ashley Heinson et al.   INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES

Predicting virus emergence amid evolutionary noise

(2017) Jemma L. Geoghegan et al.   Open Biology

The Next Epidemic — Lessons from Ebola

(2015) Bill Gates   NEW ENGLAND JOURNAL OF MEDICINE