Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework

M Ramezani, A Takian, A Bakhtiari, HR Rabiee… - BioData Mining, 2023 - Springer
Background The governance of health systems is complex in nature due to several
intertwined and multi-dimensional factors contributing to it. Recent challenges of health …

Towards human-centric digital twins: leveraging computer vision and graph models to predict outdoor comfort

P Liu, T Zhao, J Luo, B Lei, M Frei, C Miller… - Sustainable Cities and …, 2023 - Elsevier
Conventional sidewalk studies focused on quantitative analysis of sidewalk walkability at a
large scale which cannot capture the dynamic interactions between the environment and …

The application of artificial intelligence in health financing: a scoping review

M Ramezani, A Takian, A Bakhtiari, HR Rabiee… - Cost Effectiveness and …, 2023 - Springer
Abstract Introduction Artificial Intelligence (AI) represents a significant advancement in
technology, and it is crucial for policymakers to incorporate AI thinking into policies and to …

Understanding the relationship between Fintech, Natural Resources, Green Finance, and Environmental Sustainability in China: A BARDL approach

Y Song, Y Hao - Resources Policy, 2024 - Elsevier
China has been one of the biggest contributors to CO2 emissions all around the world. The
rise in pollution in the country is leading to environmental problems in the world and is …

Predictive modeling of earthquakes in los angeles with machine learning and neural networks

CE Yavas, L Chen, C Kadlec, Y Ji - IEEE Access, 2024 - ieeexplore.ieee.org
Earthquakes pose a significant threat to urban areas, necessitating accurate forecasting
models to mitigate their impact. This study focuses on earthquake forecasting in Los …

Improving earthquake prediction accuracy in Los Angeles with machine learning

CE Yavas, L Chen, C Kadlec, Y Ji - Scientific Reports, 2024 - nature.com
This research breaks new ground in earthquake prediction for Los Angeles, California, by
leveraging advanced machine learning and neural network models. We meticulously …

A long-term Doppler wind LiDAR study of heavy pollution episodes in western Yangtze River Delta region, China

M Wang, T Wei, S Lolli, K Wu, Y Wang, H Hu… - Atmospheric …, 2024 - Elsevier
Previous studies are primarily based on surface air pollution for a single event, leaving
research on the temporal characteristics of aerosols and wind fields in the atmospheric …

Multi-parameters monitoring of geological disasters around the Taihang Mountains-Yanshan area, Hebei Province

T Wu, K Yu, S Lu, Y Liu - Geomatics, Natural Hazards and Risk, 2024 - Taylor & Francis
Abstract The Hebei Taihang Mountains-Yanshan region marks North China's natural
boundary between plains and plateaus. The unique geological and geographical conditions …

Interprovincial spatial distribution patterns and socioeconomic factors on traditional Chinese medicine (TCM) service utilization in China

B Zhang, J Chen, S Li, Y Cao, J Zhang - Social Science & Medicine, 2024 - Elsevier
The traditional Chinese medicine (TCM) industry in China exhibits significant regional
disparities in health service utilization, the underlying reasons for which are yet to be fully …

Consequences of Information and Communication Technologies and Environmental Degradation on Health Expenditure

Y Bayraktar, S Aydin, M Çakır… - … : The Journal of …, 2024 - journals.sagepub.com
This study aims to examine how the subcomponents and overall measurement of ecological
footprint, as well as the use of information and communication technologies, affect health …