AIMC Topic:
SARS-CoV-2

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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.

Physical and engineering sciences in medicine Apr 3, 2020
In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease. The aim of the study is to evaluate the per...
SARS-CoV-2 Deep Learning Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Neural Networks, Computer Pandemics COVID-19 Databases, Factual Radiography, Thoracic Pneumonia, Bacterial Betacoronavirus Pneumonia, Viral Humans
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How could artificial intelligence aid in the fight against coronavirus?

Expert review of anti-infective therapy Mar 29, 2020
Drug Evaluation, Preclinical Computer Simulation Coronavirus Infections SARS-CoV-2 Betacoronavirus Humans Viral Vaccines Pneumonia, Viral Drug Discovery Artificial Intelligence Pandemics COVID-19
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Artificial intelligence and machine learning to fight COVID-19.

Physiological genomics Mar 27, 2020
COVID-19 Drug Treatment Disease Susceptibility Betacoronavirus Pneumonia, Viral Pandemics COVID-19 SARS-CoV-2 Viral Vaccines Humans COVID-19 Vaccines Artificial Intelligence Drug Development Machine Learning Drug Repositioning Coronavirus Infections
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Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.

Radiology Mar 19, 2020
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginning of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest CT. Purpose To develop a fully automatic framework to...
Community-Acquired Infections Clinical Laboratory Techniques Diagnosis, Differential Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections Aged COVID-19 Testing Adult Middle Aged Sensitivity and Specificity Deep Learning Male Retrospective Studies ROC Curve Imaging, Three-Dimensional Tomography, X-Ray Computed Female SARS-CoV-2 Betacoronavirus Pneumonia, Viral Humans Artificial Intelligence Pandemics COVID-19
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Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.

Infection control and hospital epidemiology Mar 3, 2020
We propose the use of a machine learning algorithm to improve possible COVID-19 case identification more quickly using a mobile phone-based web survey. This method could reduce the spread of the virus in susceptible populations under quarantine.
SARS-CoV-2 Risk Assessment China Health Surveys Cities Quarantine Coronavirus Infections Early Diagnosis Humans Machine Learning Pandemics COVID-19 Pneumonia, Viral Symptom Assessment Travel Cell Phone Betacoronavirus
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The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.

Journal of medical systems Feb 4, 2020
Pandemics COVID-19 SARS-CoV-2 Coronavirus Infections Public Opinion Betacoronavirus Pneumonia, Viral Humans Neural Networks, Computer Artificial Intelligence Software
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Use of Machine Learning to Compare Disease Risk Scores and Propensity Scores Across Complex Confounding Scenarios: A Simulation Study.

Pharmacoepidemiology and drug safety Jun 1, 2025
PURPOSE: The surge of treatments for COVID-19 in the second quarter of 2020 had a low prevalence of treatment and high outcome risk. Motivated by that, we conducted a simulation study comparing disease risk scores (DRS) and propensity scores (PS) usi...
Humans Machine Learning COVID-19 Computer Simulation Confounding Factors, Epidemiologic Bias COVID-19 Drug Treatment Propensity Score Monte Carlo Method SARS-CoV-2 Risk Assessment Prevalence Logistic Models
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On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook.

IEEE journal of biomedical and health informatics Jun 1, 2025
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple reviews have been published on this topic, providing the community with comprehensive accounts of the researc...
Humans Pandemics COVID-19 SARS-CoV-2 Depression Social Media Natural Language Processing
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Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation.

IEEE transactions on medical imaging Jun 1, 2025
The test-time adaptation (TTA) of deep-learning-based semantic segmentation models, specific to individual patient data, was addressed in this study. The existing TTA methods in medical imaging are often unconstrained, require anatomical prior inform...
Humans COVID-19 Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Semantics Brain Tomography, X-Ray Computed SARS-CoV-2 Brain Neoplasms
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FeaInfNet: Diagnosis of Medical Images With Feature-Driven Inference and Visual Explanations.

IEEE journal of biomedical and health informatics Jun 1, 2025
Interpretable deep-learning models have received widespread attention in the field of image recognition. However, owing to the coexistence of medical-image categories and the challenge of identifying subtle decision-making regions, many proposed inte...
Deep Learning Image Interpretation, Computer-Assisted Humans Neural Networks, Computer COVID-19 SARS-CoV-2
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