AIMC Topic: Public Health

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Infodemic Versus Viral Information Spread: Key Differences and Open Challenges.

JMIR infodemiology May 7, 2025
As we move beyond the COVID-19 pandemic, the risk of future infodemics remains significant, driven by emerging health crises and the increasing influence of artificial intelligence in the information ecosystem. During periods of apparent stability, p...
SARS-CoV-2 Communication Public Health Humans Information Dissemination Artificial Intelligence Pandemics COVID-19
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Using large language models to learn from recent climate change discourse in public health.

PloS one Apr 29, 2025
BACKGROUND: Public health has increasingly recognized the links between climate change and health, emphasizing the need to address related inequities. This is reflected in work led by the Intergovernmental Panel on Climate Change, the UN Framework Co...
Public Health Models, Theoretical Humans Language Climate Change Large Language Models
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Introduction to WBE case estimation: A practical toolset for public health practitioners.

The Science of the total environment Apr 28, 2025
Public health practitioners can use wastewater data to grasp disease dynamics, including incidence, prevalence, and potential disease trajectory. The expertise required to analyze and interpret wastewater data exceed those of most entry-level epidemi...
Public Health United States Humans Wastewater COVID-19 SARS-CoV-2
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Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction.

Frontiers in public health Apr 25, 2025
INTRODUCTION: Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors. Machine learning offers powerful tools...
Humans Forecasting Public Health Machine Learning United States Support Vector Machine Incidence Lung Neoplasms
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Barriers to the widespread adoption of diagnostic artificial intelligence for preventing antimicrobial resistance.

Scientific reports Apr 16, 2025
Currently, antimicrobial resistance (AMR) poses a major public health challenge. The emergence of AMR, which significantly threatens public health, is primarily due to the overuse of antimicrobial agents. This study explored the possibility that the ...
Public Health Surveys and Questionnaires Young Adult Adult Male Middle Aged Female Aged Humans Anti-Bacterial Agents Artificial Intelligence Drug Resistance, Bacterial
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Advancing Pedagogy in Leadership Practice to Enhance Public Health Impact.

Journal of public health management and practice : JPHMP Apr 15, 2025
BACKGROUND: The COVID-19 pandemic highlighted the critical need for competent leadership in public health to address emergent health challenges and restore trust in health institutions. Emphasizing leadership training in public health education progr...
Humans COVID-19 Qualitative Research Leadership United States Public Health Education, Public Health Professional
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Antimicrobial resistance: Linking molecular mechanisms to public health impact.

SLAS discovery : advancing life sciences R & D Apr 9, 2025
BACKGROUND: Antimicrobial resistance (AMR) develops into a worldwide health emergency through genetic and biochemical adaptations which enable microorganisms to resist antimicrobial treatment. β-lactamases (blaNDM, blaKPC) and efflux pumps (MexAB-Opr...
Humans Bacteria Public Health Drug Resistance, Multiple, Bacterial Anti-Bacterial Agents Drug Resistance, Bacterial
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Precision in Prevention and Health Surveillance: How Artificial Intelligence May Improve the Time of Identification of Health Concerns through Social Media Content Analysis.

Yearbook of medical informatics Apr 8, 2025
OBJECTIVE: To explore how artificial intelligence (AI) methodologies, particularly through the analysis of social media content, can enhance "precision in prevention and health surveillance" (2024 Yearbook topic). The focus is on leveraging advanced ...
Consumer Health Informatics Humans Artificial Intelligence Social Media Machine Learning Public Health Natural Language Processing Public Health Surveillance
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Artificial intelligence strategies based on random forests for detection of AI-generated content in public health.

Public health Apr 7, 2025
OBJECTIVES: To train and test a Random Forest machine learning model with the ability to distinguish AI-generated from human-generated textual content in the domain of public health, and public health policy.
Humans Artificial Intelligence Random Forest Supervised Machine Learning Machine Learning Public Health
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The Emergence of AI in Public Health Is Calling for Operational Ethics to Foster Responsible Uses.

International journal of environmental research and public health Apr 4, 2025
This paper discusses the responsible use of artificial intelligence (AI) in public health and in medicine, and questions the development of AI ethics in international guidelines from a public health perspective. How can a global ethics approach help ...
Humans Artificial Intelligence Public Health
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