AIMC Topic: Public Health

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Integrating health equity in artificial intelligence for public health in Canada: a rapid narrative review.

Frontiers in public health
INTRODUCTION: The application of artificial intelligence (AI) in public health is rapidly evolving, offering promising advancements in various public health settings across Canada. AI has the potential to enhance the effectiveness, precision, decisio...

AI integrations with lung cancer screening: Considerations in developing AI in a public health setting.

European journal of cancer (Oxford, England : 1990)
Lung cancer screening implementation has led to expanded imaging of the chest in older, tobacco-exposed populations. Growing numbers of screening cases are also found to have CT-detectable emphysema or elevated levels of coronary calcium, indicating ...

Health Communication on the Internet: Promoting Public Health and Exploring Disparities in the Generative AI Era.

Journal of medical Internet research
Health communication and promotion on the internet have evolved over time, driven by the development of new technologies, including generative artificial intelligence (GenAI). These technological tools offer new opportunities for both the public and ...

Natural Language Processing Technologies for Public Health in Africa: Scoping Review.

Journal of medical Internet research
BACKGROUND: Natural language processing (NLP) has the potential to promote public health. However, applying these technologies in African health systems faces challenges, including limited digital and computational resources to support the continent'...

Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions.

The Lancet. Public health
Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, AI has the...

Content Analysis of Social Determinants of Health Accelerator Plans Using Artificial Intelligence: A Use Case for Public Health Practitioners.

Journal of public health management and practice : JPHMP
CONTEXT: Public health practice involves the development of reports and plans, including funding progress reports, strategic plans, and community needs assessments. These documents are valuable data sources for program monitoring and evaluation. Howe...

The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health.

JMIR public health and surveillance
Current societal trends reflect an increased mistrust in science and a lowered civic engagement that threaten to impair research that is foundational for ensuring public health and advancing health equity. One effective countermeasure to these trends...

Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example.

Ecotoxicology and environmental safety
AIM: We aimed to test whether and how ChatGPT understood the epidemiological problems related to fluoride intake and whether ChatGPT could produce novel and feasible hypotheses to tackle the challenges in the research for the disorders caused by a de...

Machine learning and public health policy evaluation: research dynamics and prospects for challenges.

Frontiers in public health
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
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 ...