Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review

Identification of COVID-19 Can be Quicker through Artificial Intelligence framework using a Mobile Phone-Based Survey in the Populations when Cities/Towns Are Under Quarantine

(2020) Arni S.R. Srinivasa Rao et al.   INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY

Baricitinib as potential treatment for 2019-nCoV acute respiratory disease

(2020) Peter Richardson et al.   LANCET

SHUYU Robot: An Automatic Rapid Temperature Screening System

(2020) Zhao Gong et al.   Chinese Journal of Mechanical Engineering

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

(2020) Lin Li et al.   RADIOLOGY

Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov

(2020) Haiping Zhang et al.   Interdisciplinary Sciences-Computational Life Sciences

2019 Novel Coronavirus Disease (COVID-19): Paving the Road for Rapid Detection and Point-of-Care Diagnostics

(2020) Trieu Nguyen et al.   Micromachines

Weakly Labeled Data Augmentation for Deep Learning: A Study on COVID-19 Detection in Chest X-Rays

(2020) Sivaramakrishnan Rajaraman et al.   Diagnostics

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

(2020) Mesut Toğaçar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

(2020) Ali Abbasian Ardakani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT

(2020) Jiangdian Song et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

The combination of artificial intelligence and systems biology for intelligent vaccine design

(2020) Giulia Russo et al.   Expert Opinion on Drug Discovery

AI Surveillance during Pandemics: Ethical Implementation Imperatives

(2020) Carmel Shachar et al.   HASTINGS CENTER REPORT

A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis

(2020) Longxi Zhou et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Prognostic modelling of COVID-19 using artificial intelligence in a UK population. (Preprint)

(2020) Ahmed Abdulaal et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Managing COVID-19 with a Clinical Decision Support Tool in a Community Health Network: Algorithm Development and Validation (Preprint)

(2020) Michael P. McRae et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Application of a Robotic Tele‐Echography System for COVID ‐19 Pneumonia

(2020) Jing Wang et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs

(2020) Jocelyn Zhu et al.   PLoS One

Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

(2020) Nikolas Lessmann et al.   RADIOLOGY

Wall-Following Behavior for a Disinfection Robot Using Type 1 and Type 2 Fuzzy Logic Systems

(2020) M. A. Viraj J. Muthugala et al.   SENSORS

Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial

(2020) Chun Ka Wong et al.   BMJ Open

Deep Learning System for COVID-19 Diagnosis Aid Using X-ray Pulmonary Images

(2020) Javier Civit-Masot et al.   Applied Sciences-Basel

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

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

Early Detection and Assessment of Covid-19

(2020) Hafiz Abdul Sattar Hashmi et al.   Frontiers in Medicine

COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm

(2020) Celestine Iwendi et al.   Frontiers in Public Health

Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence

(2020) Ilker Ozsahin et al.   Computational and Mathematical Methods in Medicine

Researchers are betting that AI and automation can cut drug discovery from five years to six months: Automating antivirals

(2020) Megan Scudellari   IEEE SPECTRUM

Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network

(2020) Shui-Hua Wang et al.   Information Fusion

Utilization of machine-learning models to accurately predict the risk for critical COVID-19

(2020) Dan Assaf et al.   Internal and Emergency Medicine

A systematic review and meta-analysis of published research data on COVID-19 infection-fatality rates

(2020) Gideon Meyerowitz-Katz et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

The effect of coronavirus (COVID‐19) outbreak on the mental well‐being and mental health of individuals

(2020) Adem Sümen et al.   PERSPECTIVES IN PSYCHIATRIC CARE

Diagnosis of COVID-19 Pneumonia Using Chest Radiography: Value of Artificial Intelligence

(2020) Ran Zhang et al.   RADIOLOGY

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

(2020) Stephanie A. Harmon et al.   Nature Communications

A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks

(2020) Tuan D. Pham   Scientific Reports

The Performance of Deep Neural Networks in Differentiating Chest X-Rays of COVID-19 Patients From Other Bacterial and Viral Pneumonias

(2020) Mohamed Elgendi et al.   Frontiers in Medicine

The Need for Developing Technology-Enabled, Safe, and Ethical Workforce for Healthcare Delivery

(2020) Suptendra N. Sarbadhikari et al.   Safety and Health at Work

A review of COVID-19 biomarkers and drug targets: resources and tools

(2020) Francesca P Caruso et al.   BRIEFINGS IN BIOINFORMATICS

An Artificial Intelligence Model to Predict the Mortality of COVID-19 Patients at Hospital Admission Time Using Routine Blood Samples: Development and Validation of an Ensemble Model

(2020) Hoon Ko et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Integrative analysis for COVID-19 patient outcome prediction

(2020) Hanqing Chao et al.   MEDICAL IMAGE ANALYSIS

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large US Clinical Dataset

(2020) Ramsey M. Wehbe et al.   RADIOLOGY

An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application

(2020) Bakr Ahmed Taha et al.   SENSORS

Analysis of COVID-19 Infections on a CT Image Using DeepSense Model

(2020) Adil Khadidos et al.   Frontiers in Public Health

Numerical simulation of the novel coronavirus spreading

(2020) M. Medrek et al.   EXPERT SYSTEMS WITH APPLICATIONS

A drone-based networked system and methods for combating coronavirus disease (COVID-19) pandemic

(2020) Adarsh Kumar et al.   Future Generation Computer Systems-The International Journal of eScience

Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections

(2020) Yanhong Yang et al.   Journal of X-Ray Science and Technology

A deep learning-based social distance monitoring framework for COVID-19

(2020) Imran Ahmed et al.   Sustainable Cities and Society

The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness

(2020) Attila J. Hertelendy et al.   AMERICAN JOURNAL OF EMERGENCY MEDICINE

Predicting Response to Cancer Immunotherapy using Non-invasive Radiomic Biomarkers

(2019) S Trebeschi et al.   ANNALS OF ONCOLOGY

Deep Metric Learning: A Survey

(2019) Kaya et al.   Symmetry-Basel

NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions

(2018) Fangping Wan et al.   BIOINFORMATICS

Robotic Process Automation

(2018) Wil M. P. van der Aalst et al.   Business & Information Systems Engineering

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly

(2018) Yongqin Xian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

From Lab on a Chip to Point of Care Devices: The Role of Open Source Microcontrollers

(2018) Trieu Nguyen et al.   Micromachines

Virtual screening approach to identifying influenza virus neuraminidase inhibitors using molecular docking combined with machine-learning-based scoring function

(2017) Li Zhang et al.   Oncotarget