AIMC Topic:
SARS-CoV-2

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Temporal changes of quantitative CT findings from 102 patients with COVID-19 in Wuhan, China: A longitudinal study.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Computed tomography (CT) imaging combined with artificial intelligence is important in the diagnosis and prognosis of lung diseases.
China Time Factors Humans Disease Progression Artificial Intelligence Lung COVID-19 Comorbidity Severity of Illness Index Adult Female Male SARS-CoV-2 Prognosis Middle Aged Aged Retrospective Studies Aged, 80 and over Tomography, X-Ray Computed
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COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time.
Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer COVID-19 Pneumonia Reproducibility of Results Radiography, Thoracic Early Diagnosis SARS-CoV-2 Deep Learning
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Estimation of COVID-19 epidemic curves using genetic programming algorithm.

Health informatics journal Jan 1, 2021
This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm on a publicly available COVID-19 data set, in order to obtain mathematical models which could be used for estimation of confirmed, deceased, and recov...
Machine Learning COVID-19 Algorithms Epidemics Epidemiologic Methods SARS-CoV-2 Models, Theoretical Humans
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Deep Learning in the Quest for Compound Nomination for Fighting COVID-19.

Current medicinal chemistry Jan 1, 2021
The current COVID-19 pandemic initiated an unprecedented response from clinicians and the scientific community in all relevant biomedical fields. It created an incredible multidimensional data-rich framework in which deep learning proved instrumental...
SARS-CoV-2 Deep Learning Drug Repositioning Humans Pandemics COVID-19
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Network graph representation of COVID-19 scientific publications to aid knowledge discovery.

BMJ health & care informatics Jan 1, 2021
INTRODUCTION: Numerous scientific journal articles related to COVID-19 have been rapidly published, making navigation and understanding of relationships difficult.
Artificial Intelligence COVID-19 SARS-CoV-2 Knowledge Discovery Humans Natural Language Processing Periodicals as Topic
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Deep Transfer Learning for COVID-19 Prediction: Case Study for Limited Data Problems.

Current medical imaging Jan 1, 2021
OBJECTIVE: Automatic prediction of COVID-19 using deep convolution neural networks based pre-trained transfer models and Chest X-ray images.
Deep Learning Radiography, Thoracic Neural Networks, Computer COVID-19 SARS-CoV-2 Humans
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Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.
Humans Artificial Intelligence Female SARS-CoV-2 Aged Young Adult COVID-19 Algorithms Tomography, X-Ray Computed Diagnosis, Differential Radiologists Respiratory Tract Infections Middle Aged Lung Deep Learning Clinical Competence Adult Sensitivity and Specificity Male
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Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.

Diagnostic and interventional radiology (Ankara, Turkey) Jan 1, 2021
PURPOSE: Chest X-ray plays a key role in diagnosis and management of COVID-19 patients and imaging features associated with clinical elements may assist with the development or validation of automated image analysis tools. We aimed to identify associ...
Male Middle Aged Comorbidity Severity of Illness Index SARS-CoV-2 Aged Adult Radiologists Retrospective Studies Feasibility Studies Female Radiography, Thoracic Humans Thorax Deep Learning COVID-19 Age Factors Italy
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Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.

Reviews in cardiovascular medicine Dec 30, 2020
Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discover...
Risk Factors COVID-19 Comorbidity Cardiovascular Diseases Delivery of Health Care Risk Assessment SARS-CoV-2 Humans Artificial Intelligence Pandemics
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[Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] Dec 6, 2020
Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. As a first tier city, Guangzhou is also the South Gate of China, with large population mobility and severe and complex prevention and control situatio...
Infection Control SARS-CoV-2 China Cities Artificial Intelligence Humans COVID-19
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