AIMC Topic: COVID-19

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Tiled Sparse Coding in Eigenspaces for Image Classification.

International journal of neural systems Dec 30, 2021
The automation in the diagnosis of medical images is currently a challenging task. The use of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially in situations when hospitals are overflowed. These tools are usuall...
Artificial Intelligence COVID-19 Humans Diagnosis, Computer-Assisted Image Processing, Computer-Assisted SARS-CoV-2
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Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images.

Computers in biology and medicine Dec 29, 2021
BACKGROUND: Chest computed tomography (CT) is crucial in the diagnosis of coronavirus disease 2019 (COVID-19). However, the persistent pandemic and similar CT manifestations between COVID-19 and community-acquired pneumonia (CAP) raise methodological...
Deep Learning Pneumonia COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Humans Neural Networks, Computer
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Development of computer-aided model to differentiate COVID-19 from pulmonary edema in lung CT scan: EDECOVID-net.

Computers in biology and medicine Dec 28, 2021
The efforts made to prevent the spread of COVID-19 face specific challenges in diagnosing COVID-19 patients and differentiating them from patients with pulmonary edema. Although systemically administered pulmonary vasodilators and acetazolamide are o...
COVID-19 Computers Humans Tomography, X-Ray Computed Lung Deep Learning SARS-CoV-2 Pulmonary Edema
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A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images.

Behavioural neurology Dec 27, 2021
The excessive number of COVID-19 cases reported worldwide so far, supplemented by a high rate of false alarms in its diagnosis using the conventional polymerase chain reaction method, has led to an increased number of high-resolution computed tomogra...
COVID-19 SARS-CoV-2 Humans Computers Deep Learning Artificial Intelligence Tomography, X-Ray Computed
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Development of a prediction score for in-hospital mortality in COVID-19 patients with acute kidney injury: a machine learning approach.

Scientific reports Dec 24, 2021
Acute kidney injury (AKI) is frequently associated with COVID-19 and it is considered an indicator of disease severity. This study aimed to develop a prognostic score for predicting in-hospital mortality in COVID-19 patients with AKI (AKI-COV score)....
Machine Learning COVID-19 Prospective Studies Humans Area Under Curve Registries Male Middle Aged Hospital Mortality ROC Curve Comorbidity SARS-CoV-2 Acute Kidney Injury Risk Factors Female Aged
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SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction.

PLoS computational biology Dec 21, 2021
Hypoxemia is a significant driver of mortality and poor clinical outcomes in conditions such as brain injury and cardiac arrest in critically ill patients, including COVID-19 patients. Given the host of negative clinical outcomes attributed to hypoxe...
Humans Pandemics COVID-19 Deep Learning Critical Illness Intensive Care Units Hypoxia SARS-CoV-2 Oxygen Saturation
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Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks.

Computers in biology and medicine Dec 18, 2021
This article presents a systematic overview of artificial intelligence (AI) and computer vision strategies for diagnosing the coronavirus disease of 2019 (COVID-19) using computerized tomography (CT) medical images. We analyzed the previous review wo...
COVID-19 Computers Tomography, X-Ray Computed Humans Artificial Intelligence COVID-19 Testing SARS-CoV-2
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A New Socially Assistive Robot with Integrated Serious Games for Therapies with Children with Autism Spectrum Disorder and Down Syndrome: A Pilot Study.

Sensors (Basel, Switzerland) Dec 16, 2021
This work introduces a new socially assistive robot termed MARIA T21 (meaning "Mobile Autonomous Robot for Interaction with Autistics", with the addition of the acronym T21, meaning "Trisomy 21", which is used to designate individuals with Down syndr...
SARS-CoV-2 Male Robotics Down Syndrome Pilot Projects COVID-19 Autism Spectrum Disorder Female Humans Pandemics
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Classification of COVID-19 and Pneumonia Using Deep Transfer Learning.

Journal of healthcare engineering Dec 16, 2021
The World Health Organization (WHO) recognized COVID-19 as the cause of a global pandemic in 2019. COVID-19 is caused by SARS-CoV-2, which was identified in China in late December 2019 and is indeed referred to as the severe acute respiratory syndrom...
Child Pneumonia SARS-CoV-2 Pandemics Deep Learning COVID-19 Humans
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D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images.

Computational intelligence and neuroscience Dec 15, 2021
Since the outbreak of Coronavirus disease 2019 (COVID-19), it has been spreading rapidly worldwide and has not yet been effectively controlled. Many researchers are studying novel Coronavirus pneumonia from chest X-ray images. In order to improve the...
Humans SARS-CoV-2 Deep Learning X-Rays Neural Networks, Computer COVID-19
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