Applications of artificial intelligence and machine learning in smart cities
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …
maintain a green environment, improve the economic and living standards of their citizens …
[HTML][HTML] The “inconvenient truth” about AI in healthcare
As the UK sits in painful deadlock over Brexit, it is important to remember that governments
are regularly faced with crises, and their responses can create enduring benefit for future …
are regularly faced with crises, and their responses can create enduring benefit for future …
[HTML][HTML] Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine …
Background The COVID-19 pandemic fueled one of the most rapid vaccine developments in
history. However, misinformation spread through online social media often leads to negative …
history. However, misinformation spread through online social media often leads to negative …
[HTML][HTML] Review of artificial intelligence and machine learning technologies: Classification, restrictions, opportunities and challenges
RI Mukhamediev, Y Popova, Y Kuchin, E Zaitseva… - Mathematics, 2022 - mdpi.com
Artificial intelligence (AI) is an evolving set of technologies used for solving a wide range of
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …
applied issues. The core of AI is machine learning (ML)—a complex of algorithms and …
[HTML][HTML] Global evolution of research in artificial intelligence in health and medicine: a bibliometric study
The increasing application of Artificial Intelligence (AI) in health and medicine has attracted
a great deal of research interest in recent decades. This study aims to provide a global and …
a great deal of research interest in recent decades. This study aims to provide a global and …
[HTML][HTML] Addressing parental vaccine hesitancy and other barriers to childhood/adolescent vaccination uptake during the coronavirus (COVID-19) pandemic
Routine childhood immunizations are proven to be one of the most effective public health
interventions at controlling numerous deadly diseases. Therefore, the CDC recommends …
interventions at controlling numerous deadly diseases. Therefore, the CDC recommends …
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …
[HTML][HTML] The global research of artificial intelligence on prostate cancer: A 22-year bibliometric analysis
Background: With the rapid development of technology, artificial intelligence has been
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …
widely used in the diagnosis and prognosis prediction of a variety of diseases, including …
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
[HTML][HTML] Searching for new technology acceptance model under social context: analyzing the determinants of acceptance of intelligent information technology in digital …
Intelligent information technology (IIT) based on AI and intelligent network communication
technology is rapidly changing the social structure and the personal lives. However, IIT …
technology is rapidly changing the social structure and the personal lives. However, IIT …