AIMC Topic: COVID-19 Testing
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Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Jul 21, 2023
BACKGROUND: Deep learning (DL) prediction models hold great promise in the triage of COVID-19.
Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations.
Computers in biology and medicine
Jun 20, 2023
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods for accurately detecting the novel coronavirus and its variants. Deep learning (DL) techniques have shown promising potential as screening tools for COVID-19 detect...
Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis.
Computer methods and programs in biomedicine
Jun 19, 2023
BACKGROUND: When the COVID-19 pandemic commenced in 2020, scientists assisted medical specialists with diagnostic algorithm development. One scientific research area related to COVID-19 diagnosis was medical imaging and its potential to support molec...
COV-MobNets: a mobile networks ensemble model for diagnosis of COVID-19 based on chest X-ray images.
BMC medical imaging
Jun 15, 2023
BACKGROUND: The medical profession is facing an excessive workload, which has led to the development of various Computer-Aided Diagnosis (CAD) systems as well as Mobile-Aid Diagnosis (MAD) systems. These technologies enhance the speed and accuracy of...
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...
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative.
PloS one
May 2, 2023
BACKGROUND: Recently, artificial intelligence (AI)-based applications for chest imaging have emerged as potential tools to assist clinicians in the diagnosis and management of patients with coronavirus disease 2019 (COVID-19).
Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay.
Nature communications
Apr 24, 2023
Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can greatly impact individual patient care and public health. However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the LFA sen...
A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19).
Scientific reports
Apr 23, 2023
A COVID-19, caused by SARS-CoV-2, has been declared a global pandemic by WHO. It first appeared in China at the end of 2019 and quickly spread throughout the world. During the third layer, it became more critical. COVID-19 spread is extremely difficu...
Biases associated with database structure for COVID-19 detection in X-ray images.
Scientific reports
Mar 1, 2023
Several artificial intelligence algorithms have been developed for COVID-19-related topics. One that has been common is the COVID-19 diagnosis using chest X-rays, where the eagerness to obtain early results has triggered the construction of a series ...
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound.
Sensors (Basel, Switzerland)
Feb 27, 2023
As the Coronavirus Disease 2019 (COVID-19) continues to impact many aspects of life and the global healthcare systems, the adoption of rapid and effective screening methods to prevent the further spread of the virus and lessen the burden on healthcar...
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