AIMC Topic: COVID-19
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Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study.
Journal of epidemiology and global health
Aug 8, 2024
BACKGROUND: The global research on pandemics or epidemics and mental health has been growing exponentially recently, which cannot be integrated through traditional systematic review. Our study aims to systematically synthesize the evidence using natu...
Language discrepancies in the performance of generative artificial intelligence models: an examination of infectious disease queries in English and Arabic.
BMC infectious diseases
Aug 8, 2024
BACKGROUND: Assessment of artificial intelligence (AI)-based models across languages is crucial to ensure equitable access and accuracy of information in multilingual contexts. This study aimed to compare AI model efficiency in English and Arabic for...
Artificial Intelligence and Blockchain Enabled Smart Healthcare System for Monitoring and Detection of COVID-19 in Biomedical Images.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Millions of individuals around the world have been impacted by the ongoing coronavirus outbreak, known as the COVID-19 pandemic. Blockchain, Artificial Intelligence (AI), and other cutting-edge digital and innovative technologies have all offered pro...
Integrated CNN and Federated Learning for COVID-19 Detection on Chest X-Ray Images.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 8, 2024
Currently, Coronavirus Disease 2019 (COVID-19) is still endangering world health and safety and deep learning (DL) is expected to be the most powerful method for efficient detection of COVID-19. However, patients' privacy concerns prohibit data shari...
Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization.
IEEE journal of biomedical and health informatics
Aug 6, 2024
This study explores the vaccine prioritization strategy to reduce the overall burden of the pandemic when the supply is limited. Existing vaccine distribution methods focus on macro-level or simplified micro-level assuming homogeneous behavior within...
Navigating artificial intelligence in care homes: Competing stakeholder views of trust and logics of care.
Social science & medicine (1982)
Aug 5, 2024
The COVID-19 pandemic shed light on systemic issues plaguing care (nursing) homes, from staff shortages to substandard healthcare. Artificial Intelligence (AI) technologies, including robots and chatbots, have been proposed as solutions to such issue...
Identifying psychological predictors of SARS-CoV-2 vaccination: A machine learning study.
Vaccine
Aug 5, 2024
BACKGROUND: Major barriers to addressing SARS-CoV-2 vaccine hesitancy include limited knowledge of what causes delay/refusal of SARS-CoV-2 vaccination and limited ability to predict who will remain unvaccinated over significant time periods despite v...
From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.
Journal of computational biology : a journal of computational molecular cell biology
Aug 2, 2024
To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine le...
An architecture for COVID-19 analysis and detection using big data, AI, and data architectures.
PloS one
Aug 1, 2024
The COVID-19 epidemic is affecting individuals in many ways and continues to spread all over the world. Vaccines and traditional medical techniques are still being researched. In diagnosis and therapy, biological and digital technology is used to ove...
Spectrochemical and explainable artificial intelligence approaches for molecular level identification of the status of critically ill patients with COVID-19.
Talanta
Jul 31, 2024
This study explores the molecular alterations and disease progression in COVID-19 patients using ATR-FTIR spectroscopy combined with spectrochemical and explainable artificial intelligence (XAI) approaches. Blood serum samples from intubated patients...
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