AIMC Topic: COVID-19
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Effect of a 2-week interruption in methotrexate treatment on COVID-19 vaccine response in people with immune-mediated inflammatory diseases (VROOM study): a randomised, open label, superiority trial.
The Lancet. Rheumatology
Dec 12, 2023
BACKGROUND: Methotrexate is the first-line treatment for immune-mediated inflammatory diseases and reduces vaccine-induced immunity. We evaluated if a 2-week interruption of methotrexate treatment immediately after COVID-19 booster vaccination improv...
Diagnosis and detection of pneumonia using weak-label based on X-ray images: a multi-center study.
BMC medical imaging
Dec 12, 2023
PURPOSE: Development and assessment the deep learning weakly supervised algorithm for the classification and detection pneumonia via X-ray.
Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosis.
PloS one
Dec 8, 2023
BACKGROUND: Artificial intelligence (AI)-aided analysis of chest CT expedites the quantification of abnormalities and may facilitate the diagnosis and assessment of the prognosis of subjects with COVID-19.
Optimizing Signal Management in a Vaccine Adverse Event Reporting System: A Proof-of-Concept with COVID-19 Vaccines Using Signs, Symptoms, and Natural Language Processing.
Drug safety
Dec 7, 2023
INTRODUCTION: The Vaccine Adverse Event Reporting System (VAERS) has already been challenged by an extreme increase in the number of individual case safety reports (ICSRs) after the market introduction of coronavirus disease 2019 (COVID-19) vaccines....
An adaptive ensemble deep learning framework for reliable detection of pandemic patients.
Computers in biology and medicine
Dec 7, 2023
Nurses, often considered the backbone of global health services, are disproportionately vulnerable to COVID-19 due to their front-line roles. They conduct essential patient tests, including blood pressure, temperature, and complete blood counts. The ...
Machine learning-driven development of a disease risk score for COVID-19 hospitalization and mortality: a Swedish and Norwegian register-based study.
Frontiers in public health
Dec 7, 2023
AIMS: To develop a disease risk score for COVID-19-related hospitalization and mortality in Sweden and externally validate it in Norway.
Deep learning hybrid model for analyzing and predicting the impact of imported malaria cases from Africa on the rise of Plasmodium falciparum in China before and during the COVID-19 pandemic.
PloS one
Dec 6, 2023
BACKGROUND: Plasmodium falciparum cases are rising in China due to the imported malaria cases from African countries. The main goal of this study is to examine the impact of imported malaria cases in African countries on the rise of P. falciparum cas...
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review.
International journal of medical informatics
Dec 5, 2023
INTRODUCTION: Since the beginning of the COVID-19 pandemic, numerous machine and deep learning (MDL) methods have been proposed in the literature to analyze patient physiological data. The objective of this review is to summarize various aspects of t...
Arts therapies for mental disorders in COVID-19 patients: a comprehensive review.
Frontiers in public health
Dec 4, 2023
BACKGROUND AND OBJECTIVE: The COVID-19 global pandemic has necessitated the urgency for innovative mental health interventions. We performed a comprehensive review of the available literature on the utility and efficacy of arts therapies in treating ...
Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.
Computers in biology and medicine
Nov 30, 2023
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initi...
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