AIMC Topic: COVID-19
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Explainable deep learning diagnostic system for prediction of lung disease from medical images.
Computers in biology and medicine
Jan 19, 2024
Around the globe, respiratory lung diseases pose a severe threat to human survival. Based on a central goal to reduce contiguous transmission from infected to healthy persons, several technologies have evolved for diagnosing lung pathologies. One of ...
"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals.
Scientific reports
Jan 19, 2024
Numerous COVID-19 diagnostic imaging Artificial Intelligence (AI) studies exist. However, none of their models were of potential clinical use, primarily owing to methodological defects and the lack of implementation considerations for inference. In t...
PandoGen: Generating complete instances of future SARS-CoV-2 sequences using Deep Learning.
PLoS computational biology
Jan 19, 2024
One of the challenges in a viral pandemic is the emergence of novel variants with different phenotypical characteristics. An ability to forecast future viral individuals at the sequence level enables advance preparation by characterizing the sequence...
Coordinating virus research: The Virus Infectious Disease Ontology.
PloS one
Jan 18, 2024
The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Rapid, accurate, and consistent interpretation of generated data is thereby of fundamental concern. Ontologies-structured, controlled, vocabularies-are designed...
Agent-based social simulations for health crises response: utilising the everyday digital health perspective.
Frontiers in public health
Jan 17, 2024
There is increasing recognition of the role that artificial intelligence (AI) systems can play in managing health crises. One such approach, which allows for analysing the potential consequences of different policy interventions is agent-based social...
The Use of Artificial Intelligence in Writing Scientific Review Articles.
Current osteoporosis reports
Jan 16, 2024
PURPOSE OF REVIEW: With the recent explosion in the use of artificial intelligence (AI) and specifically ChatGPT, we sought to determine whether ChatGPT could be used to assist in writing credible, peer-reviewed, scientific review articles. We also s...
Comparison of hepatitis B and SARS-CoV2 vaccination rates in people who attended Drugs and Addiction Centres.
Frontiers in public health
Jan 16, 2024
BACKGROUND AND AIMS: Persons with substance use disorder are at increased risk for hepatitis B virus (HBV) infection. Although most of them are attached to social health centers, the vaccination rate in this group is low. In this context, we designed...
Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples.
Artificial intelligence in medicine
Jan 14, 2024
Identifying COVID-19 through blood sample analysis is crucial in managing the disease and improving patient outcomes. Despite its advantages, the current test demands certified laboratories, expensive equipment, trained personnel, and 3-4 h for resul...
Natural Language Processing for Smart Healthcare.
IEEE reviews in biomedical engineering
Jan 12, 2024
Smart healthcare has achieved significant progress in recent years. Emerging artificial intelligence (AI) technologies enable various smart applications across various healthcare scenarios. As an essential technology powered by AI, natural language p...
Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 11, 2024
Breast cancer is the second leading cause of cancer death for women in the United States. While breast cancer screening participation is the most effective method for early detection, screening rate has remained low. Given that understanding health p...
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