AIMC Topic: COVID-19

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The Lag -Effects of Air Pollutants and Meteorological Factors on COVID-19 Infection Transmission and Severity: Using Machine Learning Techniques.

Journal of research in health sciences Jul 31, 2024
BACKGROUND: Exposure to air pollution is a major health problem worldwide. This study aimed to investigate the effect of the level of air pollutants and meteorological parameters with their related lag time on the transmission and severity of coronav...
Sulfur Dioxide Meteorological Concepts Iran Carbon Monoxide Nitrogen Dioxide Air Pollution Ozone Particulate Matter SARS-CoV-2 Hospitalization Severity of Illness Index Air Pollutants Humans Machine Learning COVID-19
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Performance of artificial intelligence in predicting the prognossis of severe COVID-19: a systematic review and meta-analysis.

Frontiers in public health Jul 31, 2024
BACKGROUND: COVID-19-induced pneumonia has become a persistent health concern, with severe cases posing a significant threat to patient lives. However, the potential of artificial intelligence (AI) in assisting physicians in predicting the prognosis ...
Prognosis SARS-CoV-2 Severity of Illness Index Humans Artificial Intelligence COVID-19
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A SAR and QSAR study on 3CLpro inhibitors of SARS-CoV-2 using machine learning methods.

SAR and QSAR in environmental research Jul 30, 2024
The 3C-like Proteinase (3CLpro) of novel coronaviruses is intricately linked to viral replication, making it a crucial target for antiviral agents. In this study, we employed two fingerprint descriptors (ECFP_4 and MACCS) to comprehensively character...
Machine Learning Cysteine Endopeptidases Betacoronavirus Coronavirus 3C Proteases Support Vector Machine Quantitative Structure-Activity Relationship COVID-19 Protease Inhibitors SARS-CoV-2 Antiviral Agents
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Shape prior-constrained deep learning network for medical image segmentation.

Computers in biology and medicine Jul 29, 2024
We propose a shape prior representation-constrained multi-scale features fusion segmentation network for medical image segmentation, including training and testing stages. The novelty of our training framework lies in two modules comprised of the sha...
Tomography, X-Ray Computed SARS-CoV-2 Lung Liver Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer COVID-19 Databases, Factual Humans
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Testing behaviour change with an artificial intelligence chatbot in a randomized controlled study.

Journal of public health policy Jul 26, 2024
Chatbots can effect large-scale behaviour change because they are accessible through social media, flexible, scalable, and gather data automatically. Yet research on the feasibility and effectiveness of chatbot-administered behaviour change intervent...
Artificial Intelligence COVID-19 Female Humans Middle Aged Social Media Intention COVID-19 Testing SARS-CoV-2 Adult Male Health Behavior
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Adopting machine learning to predict ICU delirium.

Neurosurgical review Jul 26, 2024
With neuropsychiatric complications recognized among COVID-19 patients translating into significant morbidity, we explore the current state-of-the-art for auto Machine Learning (ML) to predict ICU delirium among severe COVID-19 patients which has bee...
Intensive Care Units Delirium Humans Machine Learning COVID-19
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AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery.

Nature communications Jul 26, 2024
Ionizable lipid nanoparticles (LNPs) are seeing widespread use in mRNA delivery, notably in SARS-CoV-2 mRNA vaccines. However, the expansion of mRNA therapies beyond COVID-19 is impeded by the absence of LNPs tailored for diverse cell types. In this ...
Gene Transfer Techniques Combinatorial Chemistry Techniques mRNA Vaccines SARS-CoV-2 RNA, Messenger Humans Cell Line Nanoparticles Deep Learning Lipids COVID-19 COVID-19 Vaccines Liposomes
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COVID-19 prevention and control effect of non-pharmaceutical interventions-fuzzy-sets qualitative comparative analysis based on 69 countries in the world.

Frontiers in public health Jul 26, 2024
INTRODUCTION: Coronavirus disease 2019 occurred unexpectedly in late December 2019, it was difficult to immediately develop an effective vaccine or propose targeted medical interventions in the early stages of the outbreak. At this point, non-pharmac...
Contact Tracing Humans Communicable Disease Control Pandemics Masks Qualitative Research SARS-CoV-2 COVID-19 Fuzzy Logic Global Health Social Isolation Public Health
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HDConv: Heterogeneous kernel-based dilated convolutions.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2024
Dilated convolution has been widely used in various computer vision tasks due to its ability to expand the receptive field while maintaining the resolution of feature maps. However, the critical challenge is the gridding problem caused by the isomorp...
Humans Neural Networks, Computer COVID-19 Algorithms Deep Learning Image Processing, Computer-Assisted
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AI Hesitancy and Acceptability-Perceptions of AI Chatbots for Chronic Health Management and Long COVID Support: Survey Study.

JMIR human factors Jul 23, 2024
BACKGROUND: Artificial intelligence (AI) chatbots have the potential to assist individuals with chronic health conditions by providing tailored information, monitoring symptoms, and offering mental health support. Despite their potential benefits, re...
Artificial Intelligence COVID-19 Female Humans Male Middle Aged Surveys and Questionnaires Chronic Disease Aged Adult Self-Management
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