Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school - Takeaways - DentalSpire

Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school

  • By

  • Celine Sheng

  • Camie McFarland

  • Nikola Angelov

  • Sridhar V. K. Eswaran

  • Richard Halpin

  • Jennifer Chang

  • June 8, 2026

  • 0 min

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  • 1

    The study surveyed 243 respondents at UTHealth School of Dentistry to assess the use of LLM-based AI tools among faculty and students.

  • 2

    66% of faculty and 73% of students reported using LLM-based AI tools, primarily for writing and educational tasks.

  • 3

    Students perceived LLM-based AI tools as more beneficial than faculty, who expressed a stronger demand for AI training.

  • 4

    Significant gender differences were observed, with males showing more support for AI in research tasks.

  • 5

    The study highlights the need for structured AI training and ethical guidelines to optimize LLM integration in dental education.

Original Source(s)

Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school

  • by Celine Sheng, Camie McFarland, Nikola Angelov, Sridhar V. K. Eswaran, Richard Halpin, Jennifer Chang

  • June 8, 2026

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