ArticleFrontiers in digital health2026
Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: The adoption of artificial intelligence (AI) in higher education presents opportunities and challenges for dental education. This study explores the use of Large Language Model (LLM) based AI tools, including ChatGPT and Grammarly AI, among faculty and students at the UTHealth School of Dentistry in Houston (UTSDH). This research assessed usage patterns, perceived benefits and concerns, and AI training demand. Methods: A piloted, cross-sectional survey was administered via email. The survey included Likert-scale, multiple-choice, and open-ended questions. Respondents provided demographics and rated their LLM-based AI tools for use and perceptions in educational, clinical, and research contexts. Data was analyzed using Kruskal-Wallis and Tukey-Kramer-Nemenyi tests. Qualitative responses were analyzed thematically. Results: Among 243 respondents, 66% of faculty and 73% of students reported using LLM-based AI tools, primarily for writing and educational tasks. Students were more likely to perceive LLM-based AI tools as beneficial ( Discussion: LLM-based AI tools (e.g., ChatGPT and Grammarly AI) are becoming increasingly relevant in dental education, particularly in academic writing and concept learning. While students are leading early adoption, faculty expressed a strong need for structured AI training, highlighting fertile ground for development programs. Clinical and research applications remain underdeveloped but promising. Addressing these gaps through tailored education, ethical guidelines, and institutional support will be essential for optimizing AI's potential across dental education and practice.
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