ABSTRACT Purpose This study aimed to quantify the prevalence and use cases of large language models (LLMs) among dental students, estimate perceived usefulness (learning enhancement; time saved), characterize concerns (accuracy, ethics/integrity, appropriateness), and derive actionable implications for curriculum and clinical training.
Dhruv Khurana +5 more
wiley +1 more source
Curriculum Guidelines for Social and Behavioral Sciences in Predoctoral Dental Education
ABSTRACT Social and behavioral sciences are an integral part of predoctoral dental education, given the important role of social and behavioral factors in oral health, dentist‐patient communication, the provision of person‐centered care, and patients’ experience of dental treatment and their treatment outcomes.
Cameron L. Randall +10 more
wiley +1 more source
Quantifying the AI readiness gap: An international, multidisciplinary assessment of artificial intelligence literacy in the radiation oncology community. [PDF]
Malone C +17 more
europepmc +1 more source
Artificial Intelligence Integration in Radiation Therapy Education: A Multi‐Modal Approach
Three artificial intelligence (AI) innovations were implemented in a radiation therapy degree to address a 130% enrolment increase. Students (n = 62) evaluated AI video lectures, assessment feedback, and communication simulations. Students strongly preferred AI for practice‐based learning over assessment, with communication simulations receiving 100 ...
Laura Feighan +3 more
wiley +1 more source
Generative artificial intelligence literacy profiles and workforce readiness among pre-professional nursing students: a latent profile analysis. [PDF]
Zhang Y, Ji X, Zhao L, Yang X.
europepmc +1 more source
Shaping the Future of Radiography Education: Lessons From ChatGPT and Generative AI
ChatGPT can provide structured guidance, support self‐assessment and scaffold learning processes that bridge classroom knowledge and clinical expectations. However, AI must be embedded in ways that uphold the core principles of radiographic practice: accuracy, reflective judgment, ethical reasoning, empathy and patient‐centred care.
Minh T. Chau +5 more
wiley +1 more source
Agentic AI systems embedded within imaging workflows may alter reflective reasoning by reshaping when and how verification occurs. This Perspective proposes a Tri‐System framework and argues for educational recalibration to preserve diagnostic complementarity, calibrated trust, and accountable human supervision within architecturally integrated ...
James Hayes
wiley +1 more source
Investigating the correlation between candidate teachers' acceptance of generative artificial intelligence and artificial intelligence literacy across various disciplines. [PDF]
Kurt B, Arık Karamık G, Özkaya A.
europepmc +1 more source
Modelling Critical Impeding Factors of Gamification Adoption: An ISM‐MICMAC Analysis
ABSTRACT Gamification is a transformative technology that attracts consumers and motivates them toward desired actions through fun and engagement. Despite its growing popularity and influence on user behavior, gamification faces significant challenges in acceptance and implementation due to behavioral, technological, economic, and regulatory factors ...
Wamika Sharma +4 more
wiley +1 more source
The Relationship Between Nursing Managers' Leadership Styles and Nurses' Artificial Intelligence Literacy: A Cross-Sectional Study. [PDF]
Tong J, Xie J, Xiang Y, Zhou Y, Deng P.
europepmc +1 more source

