Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …
succeeded in transforming numerous manual tasks and processes that had been in …
[HTML][HTML] Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda
Abstract Workplace Artificial Intelligence (AI) helps organisations increase operational
efficiency, enable faster-informed decisions, and innovate products and services. While …
efficiency, enable faster-informed decisions, and innovate products and services. While …
Artificial intelligence innovation in healthcare: Literature review, exploratory analysis, and future research
Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …
area of research. AI, digital data collection, and computer infrastructure advancements have …
[HTML][HTML] Soft sets extensions: Innovating healthcare claims analysis
D Gifu - Applied Sciences, 2024 - mdpi.com
In the dynamic arena of healthcare research, where the complexities of data often rival the
intricacies of biological systems, the ability to model and analyze such multifaceted datasets …
intricacies of biological systems, the ability to model and analyze such multifaceted datasets …
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making
A Brnabic, LM Hess - BMC medical informatics and decision making, 2021 - Springer
Background Machine learning is a broad term encompassing a number of methods that
allow the investigator to learn from the data. These methods may permit large real-world …
allow the investigator to learn from the data. These methods may permit large real-world …
The implementation of artificial intelligence in organizations: A systematic literature review
This study seeks to thoroughly understand the organizational context in which Artificial
Intelligence (AI) would be implemented, through a systematic review and analysis of articles …
Intelligence (AI) would be implemented, through a systematic review and analysis of articles …
A systematic review of fairness in artificial intelligence algorithms
K **vuri, H Twinomurinzi - Responsible AI and Analytics for an Ethical and …, 2021 - Springer
Despite being the fastest-growing field because of its ability to enhance competitive
advantage, there are concerns about the inherent fairness in Artificial Intelligence (AI) …
advantage, there are concerns about the inherent fairness in Artificial Intelligence (AI) …
Risks and opportunities to ensure equity in the application of big data research in public health
P Wesson, Y Hswen, G Valdes… - Annual review of …, 2022 - annualreviews.org
The big data revolution presents an exciting frontier to expand public health research,
broadening the scope of research and increasing the precision of answers. Despite these …
broadening the scope of research and increasing the precision of answers. Despite these …
Review of artificial intelligence applied in decision-making processes in agricultural public policy
The objective of this article is to review how Artificial Intelligence (AI) tools have helped the
process of formulating agricultural public policies in the world. For this, a search process …
process of formulating agricultural public policies in the world. For this, a search process …
Debunking the myth of industry 4.0 in health care: insights from a systematic literature review
Purpose Industry 4.0, artificial intelligence and digitalization have got a momentum in health
care. However, scholars and practitioners do not agree on their implications on health …
care. However, scholars and practitioners do not agree on their implications on health …