AIMC Topic: COVID-19

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Redefining Lobe-Wise Ground-Glass Opacity in COVID-19 Through Deep Learning and its Correlation With Biochemical Parameters.

IEEE journal of biomedical and health informatics Jun 5, 2023
During COVID-19 pandemic qRT-PCR, CT scans and biochemical parameters were studied to understand the patients' physiological changes and disease progression. There is a lack of clear understanding of the correlation of lung inflammation with biochemi...
Humans Pandemics SARS-CoV-2 Lung Deep Learning COVID-19 Retrospective Studies
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Remora Namib Beetle Optimization Enabled Deep Learning for Severity of COVID-19 Lung Infection Identification and Classification Using CT Images.

Sensors (Basel, Switzerland) Jun 3, 2023
Coronavirus disease 2019 (COVID-19) has seen a crucial outburst for both females and males worldwide. Automatic lung infection detection from medical imaging modalities provides high potential for increasing the treatment for patients to tackle COVID...
Animals Male Tomography, X-Ray Computed Female Pneumonia Perciformes Fishes Lung Deep Learning COVID-19 Coleoptera
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POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021).

Scientific data Jun 2, 2023
The outbreak of the SARS-CoV-2 pandemic has put healthcare systems worldwide to their limits, resulting in increased waiting time for diagnosis and required medical assistance. With chest radiographs (CXR) being one of the most common COVID-19 diagno...
X-Rays COVID-19 Testing Radiography, Thoracic Algorithms SARS-CoV-2 Deep Learning Pneumonia Poland Artificial Intelligence Humans COVID-19
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A Review Paper about Deep Learning for Medical Image Analysis.

Computational and mathematical methods in medicine May 29, 2023
Medical imaging refers to the process of obtaining images of internal organs for therapeutic purposes such as discovering or studying diseases. The primary objective of medical image analysis is to improve the efficacy of clinical research and treatm...
Image Processing, Computer-Assisted Neural Networks, Computer Diagnostic Imaging COVID-19 Humans Deep Learning Child
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Constructing a disease database and using natural language processing to capture and standardize free text clinical information.

Scientific reports May 26, 2023
The ability to extract critical information about an infectious disease in a timely manner is critical for population health research. The lack of procedures for mining large amounts of health data is a major impediment. The goal of this research is ...
Electronic Health Records Natural Language Processing Records Pandemics Humans COVID-19
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A real-world evaluation of the implementation of NLP technology in abstract screening of a systematic review.

Research synthesis methods May 25, 2023
The laborious and time-consuming nature of systematic review production hinders the dissemination of up-to-date evidence synthesis. Well-performing natural language processing (NLP) tools for systematic reviews have been developed, showing promise to...
Humans Systematic Reviews as Topic SARS-CoV-2 Seroepidemiologic Studies COVID-19 Natural Language Processing
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CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning.

GigaScience May 23, 2023
BACKGROUND: Literature about SARS-CoV-2 widely discusses the effects of variations that have spread in the past 3 years. Such information is dispersed in the texts of several research articles, hindering the possibility of practically integrating it ...
Mutation Kinetics SARS-CoV-2 Humans Deep Learning COVID-19
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Deep learning and Gaussian Mixture Modelling clustering mix. A new approach for fetal morphology view plane differentiation.

Journal of biomedical informatics May 20, 2023
The last three years have been a game changer in the way medicine is practiced. The COVID-19 pandemic changed the obstetrics and gynecology scenery. Pregnancy complications, and even death, are preventable due to maternal-fetal monitoring. A fast and...
Deep Learning Cluster Analysis Artificial Intelligence Pandemics Pregnancy Humans Female COVID-19
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The Evolution and Future of Intensive Care Management in the Era of Telecritical Care and Artificial Intelligence.

Current problems in cardiology May 18, 2023
Critical care practice has been embodied in the healthcare system since the institutionalization of intensive care units (ICUs) in the late '50s. Over time, this sector has experienced many changes and improvements in providing immediate and dedicate...
Pandemics COVID-19 Critical Care Intensive Care Units Humans Artificial Intelligence
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Unsupervised machine learning framework for discriminating major variants of concern during COVID-19.

PloS one May 18, 2023
Due to the high mutation rate of the virus, the COVID-19 pandemic evolved rapidly. Certain variants of the virus, such as Delta and Omicron emerged with altered viral properties leading to severe transmission and death rates. These variants burdened ...
COVID-19 Humans Algorithms Unsupervised Machine Learning SARS-CoV-2 Pandemics
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