AI Medical Compendium Topic

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Big Data

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Revolutionizing cross-border e-commerce: A deep dive into AI and big data-driven innovations for the straw hat industry.

PloS one
This paper investigates the impact of artificial intelligence (AI) and big data analytics on optimizing cross-border e-commerce efficiency for straw hat manufacturers in Zhejiang Province, China. It identifies market and consumer demand trends throug...

[ARTIFICIAL INTELLIGENCE AND MEDICAL ETHICS].

Harefuah
Artificial intelligence has burst into our lives with great vigor in recent years. We encounter it in all areas of life, as well as in the field of medicine. The article refers to medical ethics in two areas: One field is medicine based on Mega Data ...

AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol.

BMJ open
INTRODUCTION: This paper outlines the steps necessary to assess the latest developments in artificial intelligence (AI) as well as Big Data technologies and their relevance to the opioid crisis. Fatal opioid overdoses have risen to over 82 998 annual...

Can big data policy drive urban carbon unlocking efficiency? A new approach based on double machine learning.

Journal of environmental management
In recent years, data has increasingly become the "new oil" for 21st-century economic development. However, there is still a gap in how the development of big data promotes the improvement of urban carbon unlocking efficiency (UCUE). Utilizing advanc...

Current status and future direction of cancer research using artificial intelligence for clinical application.

Cancer science
The expectations for artificial intelligence (AI) technology have increased considerably in recent years, mainly due to the emergence of deep learning. At present, AI technology is being used for various purposes and has brought about change in socie...

How small is big enough? Big data-driven machine learning predictions for a full-scale wastewater treatment plant.

Water research
Wastewater treatment plants (WWTPs) generate vast amounts of water quality, operational, and biological data. The potential of these big data, particularly through machine learning (ML), to improve WWTP management is increasingly recognized. However,...

Naturalistic multimodal emotion data with deep learning can advance the theoretical understanding of emotion.

Psychological research
What are emotions? Despite being a century-old question, emotion scientists have yet to agree on what emotions exactly are. Emotions are diversely conceptualised as innate responses (evolutionary view), mental constructs (constructivist view), cognit...

Development of Personas and Journey Maps for Artificial Intelligence Agents Supporting the Use of Health Big Data: Human-Centered Design Approach.

JMIR formative research
BACKGROUND: The rapid proliferation of artificial intelligence (AI) requires new approaches for human-AI interfaces that are different from classic human-computer interfaces. In developing a system that is conducive to the analysis and use of health ...

Ethical considerations on the use of big data and artificial intelligence in kidney research from the ERA ethics committee.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
In the current paper, we will focus on requirements to ensure big data can advance the outcomes of our patients suffering from kidney disease. The associated ethical question is whether and how we as a nephrology community can and should encourage th...