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Develo** a Framework for Self-regulatory Governance in Healthcare AI Research: Insights from South Korea
This paper elucidates and rationalizes the ethical governance system for healthcare AI research, as outlined in the ‘Research Ethics Guidelines for...
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AI in Healthcare and the Public Sector: How to Face the Challenges of High-Risk Applications and What AI Research Can Get Out of It
Application projects, may it be in healthcare and the public sector or elsewhere, have the potential to advance foundational (“genuine”) artificial...
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Visualizing Clinical Data Retrieval and Curation in Multimodal Healthcare AI Research: A Technical Note on RIL-workflow
Curating and integrating data from sources are bottlenecks to procuring robust training datasets for artificial intelligence (AI) models in...
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Green and sustainable AI research: an integrated thematic and topic modeling analysis
This investigation delves into Green AI and Sustainable AI literature through a dual-analytical approach, combining thematic analysis with BERTopic...
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AI-experiments in education: An AI-driven randomized controlled trial for higher education research
This study presents a novel approach contributing to our understanding of the design, development, and implementation AI-based systems for conducting...
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A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges
Artificial intelligence (AI) has the potential to transform medical research by improving disease diagnosis, clinical decision-making, and outcome...
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AI-Enabled Smart Healthcare Ecosystem Model and Its Empirical Research
This paper combines the ecosystem theory to study the AI-enabled healthcare ecology and build a smart healthcare ecosystem. The ecosystem growth...
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Map** the landscape of ethical considerations in explainable AI research
With its potential to contribute to the ethical governance of AI, eXplainable AI (XAI) research frequently asserts its relevance to ethical...
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Analyzing the impact of companies on AI research based on publications
Artificial Intelligence (AI) is one of the most momentous technologies of our time. Thus, it is of major importance to know which stakeholders...
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The Applications of Artificial Intelligence (AI)-Driven Tools in Virus-Like Particles (VLPs) Research
Viral-like particles (VLPs) represent versatile nanoscale structures mimicking the morphology and antigenic characteristics of viruses, devoid of...
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Healthcare AI: A Bibliometric Review
Artificial Intelligence (AI) is transforming various industries, and healthcare is no exception. AI is assisting practitioners in making more...
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Three different types of AI hype in healthcare
Healthcare systems are the embodiment of big data – as evident in the logistics of resource management, estate maintenance, diagnoses, patient...
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Artificial intelligence for healthcare in Africa: a scientometric analysis
IntroductionArtificial intelligence (AI) has greatly transformed healthcare in developed countries. However, there is limited data describing the...
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Innovation in healthcare: leadership perceptions about the innovation characteristics of artificial intelligence—a qualitative interview study with healthcare leaders in Sweden
BackgroundDespite the extensive hopes and expectations for value creation resulting from the implementation of artificial intelligence (AI)...
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Conversational artificial intelligence development in healthcare
Conversational Artificial Intelligence (AI) has emerged as a promising technology in the healthcare domain, facilitating interactive and personalized...
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Generative AI, Teacher Knowledge and Educational Research: Bridging Short- and Long-Term Perspectives
This article reflects on the transformative nature of generative AI (GenAI) tools for teaching and teacher education, both reflecting on current...
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Sha** the future of AI in healthcare through ethics and governance
The purpose of this research is to identify and evaluate the technical, ethical and regulatory challenges related to the use of Artificial...
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Artificial Intelligence for Sustainability Development in Healthcare
Purpose - Digital technology is frequently employed in the healthcare sector to innovate and add value. This study examines AI-based technology...
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The tech industry hijacking of the AI ethics research agenda and why we should reclaim it
This paper reflects on the tech industry’s colonization of the AI ethics research field and addresses conflicts of interest in public policymaking...
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Revolutionizing healthcare: the role of artificial intelligence in clinical practice
IntroductionHealthcare systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has transformed various fields,...
