AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Government

Showing 1 to 10 of 26 articles

Clear Filters

The role of corporate social responsibility and government incentives in installing industrial wastewater treatment plants: SEM-ANN deep learning approach.

Scientific reports
Contaminated industrial wastewater is one of the severe causes of health diseases. The wastewater treatment trend in developing countries is less, and governments are not strictly pursuing the wastewater management protocols adopted by firms. To stud...

Shaping the future of chronic disease management: Insights into patient needs for AI-based homecare systems.

International journal of medical informatics
BACKGROUND: The rising demand for healthcare resources, especially in chronic disease management, has elevated the importance of Artificial Intelligence (AI) in healthcare. While AI-based homecare systems are being developed, the perspectives of chro...

Improving citizen-government interactions with generative artificial intelligence: Novel human-computer interaction strategies for policy understanding through large language models.

PloS one
Effective communication of government policies to citizens is crucial for transparency and engagement, yet challenges such as accessibility, complexity, and resource constraints obstruct this process. In the digital transformation and Generative AI e...

Dynamics of labor and capital in AI vs. non-AI industries: A two-industry model analysis.

PloS one
There is an imbalance in the development of artificial intelligence between industries. Compared to non-AI enterprise, AI- enterprise will save labor, enhance innovation capabilities, and improve production efficiency. By constructing a two-industry ...

Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics.

Public understanding of science (Bristol, England)
The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted an online survey ( = 525) of US adults to ...

Monitoring carbon emissions using deep learning and statistical process control: a strategy for impact assessment of governments' carbon reduction policies.

Environmental monitoring and assessment
Across the globe, governments are developing policies and strategies to reduce carbon emissions to address climate change. Monitoring the impact of governments' carbon reduction policies can significantly enhance our ability to combat climate change ...

Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.

Science and engineering ethics
As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance...

Agendas on Nursing in South Korea Media: Natural Language Processing and Network Analysis of News From 2005 to 2022.

Journal of medical Internet research
BACKGROUND: In recent years, Korean society has increasingly recognized the importance of nurses in the context of population aging and infectious disease control. However, nurses still face difficulties with regard to policy activities that are aime...

Revolutionizing energy practices: Unleashing the power of artificial intelligence in corporate energy transition.

Journal of environmental management
Corporate energy transition is crucial for long-term sustainable development. The widely discussed Artificial Intelligence (AI), as a disruptive technological innovation, is highly potential for enhancing environment performance. However, the specifi...

AI and biosecurity: The need for governance.

Science (New York, N.Y.)
Governments should evaluate advanced models and if needed impose safety measures.