AIMC Topic: Communicable Diseases
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Integrating gated recurrent unit in graph neural network to improve infectious disease prediction: an attempt.
Frontiers in public health
May 20, 2024
OBJECTIVE: This study focuses on enhancing the precision of epidemic time series data prediction by integrating Gated Recurrent Unit (GRU) into a Graph Neural Network (GNN), forming the GRGNN. The accuracy of the GNN (Graph Neural Network) network wi...
Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A systematic review.
American journal of infection control
Apr 6, 2024
BACKGROUND: Natural Language Processing (NLP) and Large Language Models (LLMs) hold largely untapped potential in infectious disease management. This review explores their current use and uncovers areas needing more attention.
Rapid deep learning-assisted predictive diagnostics for point-of-care testing.
Nature communications
Feb 24, 2024
Prominent techniques such as real-time polymerase chain reaction (RT-PCR), enzyme-linked immunosorbent assay (ELISA), and rapid kits are currently being explored to both enhance sensitivity and reduce assay time for diagnostic tests. Existing commerc...
The communication of artificial intelligence and deep learning in computer tomography image recognition of epidemic pulmonary infectious diseases.
PloS one
Feb 6, 2024
The objectives are to improve the diagnostic efficiency and accuracy of epidemic pulmonary infectious diseases and to study the application of artificial intelligence (AI) in pulmonary infectious disease diagnosis and public health management. The co...
Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases.
Annals of medicine
Jan 19, 2024
BACKGROUND: Most infectious diseases are caused by viruses, fungi, bacteria and parasites. Their ability to easily infect humans and trigger large-scale epidemics makes them a public health concern. Methods for early detection of these diseases have ...
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...
Editorial: Clinical impact of fast platforms and laboratory automation for the rapid diagnosis of infectious diseases and detection of antimicrobial resistance determinants.
Frontiers in cellular and infection microbiology
Dec 4, 2023
Disrupting the infectious disease ecosystem in the digital precision health era innovations and converging emerging technologies.
Antimicrobial agents and chemotherapy
Sep 19, 2023
This commentary explores the convergence of precision health and evolving technologies, including the critical role of artificial intelligence (AI) and emerging technologies in infectious diseases (ID) and microbiology. We discuss their disruptive im...
Leveraging artificial intelligence in the fight against infectious diseases.
Science (New York, N.Y.)
Jul 13, 2023
Despite advances in molecular biology, genetics, computation, and medicinal chemistry, infectious disease remains an ominous threat to public health. Addressing the challenges posed by pathogen outbreaks, pandemics, and antimicrobial resistance will ...
Modification of a Conventional Deep Learning Model to Classify Simulated Breathing Patterns: A Step toward Real-Time Monitoring of Patients with Respiratory Infectious Diseases.
Sensors (Basel, Switzerland)
Jun 15, 2023
The emergence of the global coronavirus pandemic in 2019 (COVID-19 disease) created a need for remote methods to detect and continuously monitor patients with infectious respiratory diseases. Many different devices, including thermometers, pulse oxim...
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