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Teerachate Nantakeeratipat • Frontiers in Digital Health
(2026)
BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fdgth.2025.1687820
Ahmed A. Madfa, Abdullah F. Alshammari, Bassam A. Anazi, Yousef E. Alenezi et al. • Frontiers in Oral Health
(2026)
IntroductionArtificial intelligence (AI), particularly large language models (LLMs), is transforming healthcare education and clinical decision-making. While models like ChatGPT and Claude have demonstrated utility in medical contexts, thei...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/froh.2025.1686090
Faisal Kalota • Education Sciences
(2024)
Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) and generative artificial intelligence (Gen-AI). Therefore, this paper aims to introduce some ...
OPENALEX
cc-by
DOI: https://doi.org/10.3390/educsci14020172
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By the time you finish reading this editorial about artificial intelligence (AI), it will be outdated; the AI field is growing beyond the imagination of many.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