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Showing 6 of 1,126 academic articles

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Matthias Jung, Hanna Rieder, Marco Reisert, Susanne Rospleszcz et al. • Journal of Cachexia, Sarcopenia and Muscle (2024)

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

DOAJ Open Access (DOAJ) DOI: 10.1002/jcsm.13527

Managing artificial intelligence

Paul R. Krausman • Journal of Wildlife Management (2023)

By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many. One cannot even look at the news without finding something about AI: duplication ...

OPENALEX other-oa DOI: https://doi.org/10.1002/jwmg.22492

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

Ben Archer • Artificial Intelligence in Education (2026)

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

DOAJ Open Access (DOAJ) DOI: 10.1108/AIIE-07-2025-0199

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

Rohit Sharma, Raghvendra Kumar, Suresh Chandra Satapathy, Nadhir Al-Ansari et al. • Frontiers in Environmental Science (2020)

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2020.581591

Artificial intelligence and statistics

Bin Yu, Karl Kumbier • Frontiers of Information Technology & Electronic Engineering (2018)

Artificial intelligence (AI) is intrinsically data-driven. It calls for the application of statistical concepts through human-machine collaboration during the generation of data, the development of algorithms, and the evaluation of results....

OPENALEX Open Access DOI: https://doi.org/10.1631/fitee.1700813

The synergistic effect of internet-based health communication on health promotion: the chain-mediating effect of health literacy and health education

Xuezhen Chen, Ziqi Zhang • Frontiers in Public Health (2026)

Next-generation internet technologies, represented by artificial intelligence, are reshaping the nationwide health information distribution system; this study examines the synergistic benefit effect of online health communication on health ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2026.1934669