Results 181 to 190 of about 5,797 (260)

Large Language Models in Preclinical Spine Research: A Scoping Review and Expert Perspective on Evidence‐Aware Experimental Workflows

open access: yesJOR SPINE, Volume 9, Issue 3, September 2026.
ABSTRACT Background Preclinical spine research is limited by heterogeneous experimental reporting, fragmented documentation, and barriers to reproducibility and translational alignment. Large language models (LLMs) and related artificial intelligence (AI) technologies may support semantic interpretation, structured data extraction, and reasoning over ...
Siegmund Lang   +5 more
wiley   +1 more source

TESOL Teacher Educator Emotion on GenAI and Expertise Development

open access: yesTESOL Journal, Volume 17, Issue 3, September 2026.
ABSTRACT Rapid advancement of GenAI technologies has elicited strong emotional reactions, increasing the demand for educators to enhance their expertise regarding these innovations. This paper examines the dialogic development of two TESOL teacher educators' expertise by exploring their initial reactions to GenAI use in education through their ...
Tamara Mae Roose, Ju‐A Hwang
wiley   +1 more source

Attachment towards generative AI influences self‐AI agreement in personality reports

open access: yesAsian Journal of Social Psychology, Volume 29, Issue 3, September 2026.
Abstract Generative artificial intelligence (AI) is increasingly used as a conversational partner, yet little is known about when AI‐generated impressions of users converge with users' self‐views. Drawing on lens theory, attachment theory and the literature on belongingness and social connection, the current study examined whether users' emotional ...
Fan Yang, Atsushi Oshio
wiley   +1 more source

Online Andrology: Real‐World Status Quo of Patients’ Online Information Sources and Comparison With Large Language Models in Germany

open access: yesAndrology, Volume 14, Issue 6, Page 1823-1830, September 2026.
ABSTRACT Background The internet, including websites and large language models (LLMs), is an increasingly important information resource for medical patients. However, information quality varies, potentially leading to misinformation. Andrological patients may particularly rely on online sources due to the sensitive nature of their conditions ...
Traeger Max   +7 more
wiley   +1 more source

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