Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Differences between human and machine perception in medical diagnosis

(2022) Taro Makino et al.   Scientific Reports

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays

(2021) Rajeev Kumar Singh et al.   NEURAL COMPUTING & APPLICATIONS

Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning

(2021) Hammam Alshazly et al.   SENSORS

PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation

(2021) Shui-Hua Wang et al.   Computational and Mathematical Methods in Medicine

Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation

(2021) Hang Dong et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Multimodal deep learning models for early detection of Alzheimer’s disease stage

(2021) Janani Venugopalan et al.   Scientific Reports

Individualized prediction of COVID-19 adverse outcomes with MLHO

(2021) Hossein Estiri et al.   Scientific Reports

An Interpretable Model-Based Prediction of Severity and Crucial Factors in Patients with COVID-19

(2021) Bowen Zheng et al.   Biomed Research International

Evaluating the Quality of Machine Learning Explanations: A Survey on Methods and Metrics

(2021) Jianlong Zhou et al.   Electronics

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

(2021) Eduardo J. Mortani Barbosa et al.   EUROPEAN RADIOLOGY

Natural history, trajectory, and management of mechanically ventilated COVID-19 patients in the United Kingdom

(2021) Brijesh V. Patel et al.   INTENSIVE CARE MEDICINE

An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans

(2021) Matteo Pennisi et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Joint Learning of 3D Lesion Segmentation and Classification for Explainable COVID-19 Diagnosis

(2021) Xiaofei Wang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening

(2021) Philip Chikontwe et al.   MEDICAL IMAGE ANALYSIS

COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks

(2021) Wenqi Shi et al.   IEEE Journal of Biomedical and Health Informatics

CSGBBNet: An Explainable Deep Learning Framework for COVID-19 Detection

(2021) Xu-Jing Yao et al.   Diagnostics

COVID-view: Diagnosis of COVID-19 using Chest CT

(2021) Shreeraj Jadhav et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images

(2021) Ying Song et al.   IEEE-ACM Transactions on Computational Biology and Bioinformatics

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies

(2021) Weronika Hryniewska et al.   PATTERN RECOGNITION

MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray

(2021) Yu-Dong Zhang et al.   PATTERN RECOGNITION LETTERS

A LIME-Based Explainable Machine Learning Model for Predicting the Severity Level of COVID-19 Diagnosed Patients

(2021) Freddy Gabbay et al.   Applied Sciences-Basel

Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images

(2021) Pooja Yadav et al.   IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

(2020) Davide Chicco et al.   BMC GENOMICS

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

(2020) Parth Natekar et al.   Frontiers in Computational Neuroscience

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

(2020) Kang Zhang et al.   CELL

The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic

(2020) Geoffrey D. Rubin et al.   CHEST

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

(2020) Lin Li et al.   RADIOLOGY

Interpretable artificial intelligence framework for COVID‑19 screening on chest X‑rays

(2020) Nikos Tsiknakis et al.   Experimental and Therapeutic Medicine

Development and validation of the quick COVID-19 severity index (qCSI): a prognostic tool for early clinical decompensation

(2020) Adrian Haimovich et al.   ANNALS OF EMERGENCY MEDICINE

Cybersecurity of Hospitals: discussing the challenges and working towards mitigating the risks

(2020) Salem T. Argaw et al.   BMC Medical Informatics and Decision Making

A Deep Learning and Grad-CAM based Color Visualization Approach for Fast Detection of COVID-19 Cases using Chest X-ray and CT-Scan Images

(2020) Harsh Panwar et al.   CHAOS SOLITONS & FRACTALS

Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning

(2020) Zhongyi Han 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 based feature-level integration of multi-omics data for breast cancer patients survival analysis

(2020) Li Tong et al.   BMC Medical Informatics and Decision Making

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

(2020) Hongmei Wang et al.   EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Derivation and validation of the clinical prediction model for COVID-19

(2020) Fabrizio Foieni et al.   Internal and Emergency Medicine

Prognostic Assessment of COVID-19 in ICU by Machine Learning Methods: A Retrospective Study (Preprint)

(2020) Pan Pan et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Characteristics of SARS-CoV-2 and COVID-19

(2020) Ben Hu et al.   NATURE REVIEWS MICROBIOLOGY

A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images

(2020) Mohamed Loey et al.   NEURAL COMPUTING & APPLICATIONS

Understanding the role of individual units in a deep neural network

(2020) David Bau et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Adversarial Examples—Security Threats to COVID-19 Deep Learning Systems in Medical IoT Devices

(2020) Abdur Rahman et al.   IEEE Internet of Things Journal

One Pixel Attack for Fooling Deep Neural Networks

(2019) Jiawei Su et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Lesion Location Attention Guided Network for Multi-Label Thoracic Disease Classification in Chest X-Rays

(2019) Bingzhi Chen et al.   IEEE Journal of Biomedical and Health Informatics

Pulmonary Textures Classification via a Multi-Scale Attention Network

(2019) Rui Xu et al.   IEEE Journal of Biomedical and Health Informatics

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery

(2018) Scott M. Lundberg et al.   Nature Biomedical Engineering

Evaluating the Visualization of What a Deep Neural Network Has Learned

(2017) Wojciech Samek et al.   IEEE Transactions on Neural Networks and Learning Systems

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

(2015) Sebastian Bach et al.   PLoS One

Explaining prediction models and individual predictions with feature contributions

(2013) Erik Štrumbelj et al.   KNOWLEDGE AND INFORMATION SYSTEMS

The Sequential Organ Failure Assessment score for predicting outcome in patients with severe sepsis and evidence of hypoperfusion at the time of emergency department presentation*

(2009) Alan E. Jones et al.   CRITICAL CARE MEDICINE

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE