AIMC Topic: Public Health
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Machine learning and public health policy evaluation: research dynamics and prospects for challenges.
Frontiers in public health
Jan 30, 2025
BACKGROUND: Public health policy evaluation is crucial for improving health outcomes, optimizing healthcare resource allocation, and ensuring fairness and transparency in decision-making. With the rise of big data, traditional evaluation methods face...
AI Can Be a Powerful Social Innovation for Public Health if Community Engagement Is at the Core.
Journal of medical Internet research
Jan 22, 2025
There is a critical need for community engagement in the process of adopting artificial intelligence (AI) technologies in public health. Public health practitioners and researchers have historically innovated in areas like vaccination and sanitation ...
Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.
Journal of medical Internet research
Jan 20, 2025
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digit...
Assessing ChatGPT's accuracy and reliability in asthma general knowledge: implications for artificial intelligence use in public health education.
The Journal of asthma : official journal of the Association for the Care of Asthma
Jan 11, 2025
BACKGROUND: Integrating Artificial Intelligence (AI) into public health education represents a pivotal advancement in medical knowledge dissemination, particularly for chronic diseases such as asthma. This study assesses the accuracy and comprehensiv...
Machine learning in public health informatics: Evidence that complex sampling structures may not be needed for prediction models with imbalanced outcomes.
Annals of epidemiology
Jan 10, 2025
PURPOSE: The objective of this study is to investigate the predictive ability of machine learning models for imbalanced outcomes from national survey data without the use of sampling weights.
Integrating artificial intelligence with mechanistic epidemiological modeling: a scoping review of opportunities and challenges.
Nature communications
Jan 10, 2025
Integrating prior epidemiological knowledge embedded within mechanistic models with the data-mining capabilities of artificial intelligence (AI) offers transformative potential for epidemiological modeling. While the fusion of AI and traditional mech...
AI-powered drug discovery for neglected diseases: accelerating public health solutions in the developing world.
Journal of global health
Jan 10, 2025
The emergence of artificial intelligence (AI) in drug discovery represents a transformative development in addressing neglected diseases, particularly in the context of the developing world. Neglected diseases, often overlooked by traditional pharmac...
The influence of factors related to public health campaigns on vaccination behavior among population of Wuxi region, China.
Frontiers in public health
Jan 10, 2025
BACKGROUND: Public health campaigns are essential for promoting vaccination behavior, but factors such as socioeconomic status, geographical location, campaign quality, and service accessibility influence vaccine uptake. In the Wuxi region of China, ...
Public Health Discussions on Social Media: Evaluating Automated Sentiment Analysis Methods.
JMIR formative research
Jan 8, 2025
BACKGROUND: Sentiment analysis is one of the most widely used methods for mining and examining text. Social media researchers need guidance on choosing between manual and automated sentiment analysis methods.
Research on the impact of artificial intelligence technology on urban public health resilience.
Frontiers in public health
Jan 7, 2025
Urban public health resilience has become a critical focus in the transition to high-quality development, especially in addressing increasing public health challenges. This study explores the role of artificial intelligence (AI) technology in enhanci...
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