AIMC Topic: Pandemics
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Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
Nov 29, 2024
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our meth...
A Taxonomy and Archetypes of AI-Based Health Care Services: Qualitative Study.
Journal of medical Internet research
Nov 27, 2024
BACKGROUND: To cope with the enormous burdens placed on health care systems around the world, from the strains and stresses caused by longer life expectancy to the large-scale emergency relief actions required by pandemics like COVID-19, many health ...
Artificial intelligence in respiratory pandemics-ready for disease X? A scoping review.
European radiology
Nov 21, 2024
OBJECTIVES: This study aims to identify repeated previous shortcomings in medical imaging data collection, curation, and AI-based analysis during the early phase of respiratory pandemics. Based on the results, it seeks to highlight essential steps fo...
Comparative analysis of volatility forecasting for healthcare stock indices amid public health crises: a study based on the Bayes-CNN model.
Frontiers in public health
Nov 14, 2024
In recent years, public health events have significantly impacted various aspects of human production and daily life, particularly in the domains of disease transmission and economic stability. While many scholars have primarily focused on the influe...
The Promise of Remote Patient Monitoring.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Nov 13, 2024
The promise of remote patient monitoring (RPM) lies in its ability to revolutionize health care delivery by enabling continuous, real-time tracking of patient health outside traditional clinical settings. The COVID-19 pandemic accelerated the adoptio...
The Role of Artificial Intelligence in Accelerating Vaccine Development: Challenges and Opportunities in Pandemic Preparedness.
The International journal of health planning and management
Nov 6, 2024
Artificial intelligence (AI) has been studied and applied to medicines and vaccine development. However, there is still a need to understand the processes used and improve them. With this letter, we draw attention to AI use as a tool in vaccine produ...
AI-powered mechanisms as judges: Breaking ties in chess.
PloS one
Nov 1, 2024
Recently, Artificial Intelligence (AI) technology use has been rising in sports to reach decisions of various complexity. At a relatively low complexity level, for example, major tennis tournaments replaced human line judges with Hawk-Eye Live techno...
Developing a machine learning model with enhanced performance for predicting COVID-19 from patients presenting to the emergency room with acute respiratory symptoms.
IET systems biology
Oct 29, 2024
Artificial Intelligence is playing a crucial role in healthcare by enhancing decision-making and data analysis, particularly during the COVID-19 pandemic. This virus affects individuals across all age groups, but its impact is more severe on the elde...
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis.
IEEE transactions on neural networks and learning systems
Oct 29, 2024
The pandemic of coronavirus disease 2019 (COVID-19) has led to a global public health crisis, which caused millions of deaths and billions of infections, greatly increasing the pressure on medical resources. With the continuous emergence of viral mut...
The power of artificial intelligence for managing pandemics: A primer for public health professionals.
The International journal of health planning and management
Oct 27, 2024
Artificial intelligence (AI) applications are complex and rapidly evolving, and thus often poorly understood, but have potentially profound implications for public health. We offer a primer for public health professionals that explains some of the ke...
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