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

Sheng C, McFarland C, Angelov N, Eswaran SVK, Halpin R, Chang J

Open source

DOI
10.3389/fdgth.2026.1786363
Published
2026
Container
Frontiers in digital health
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3389/fdgth.2026.1786363,
  title = {Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.},
  author = {Sheng C and McFarland C and Angelov N and Eswaran SVK and Halpin R and Chang J},
  year = {2026},
  journal = {Frontiers in digital health},
  doi = {10.3389/fdgth.2026.1786363},
  url = {https://doi.org/10.3389/fdgth.2026.1786363}
}

RIS

TY  - JOUR
TI  - Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.
AU  - Sheng C
AU  - McFarland C
AU  - Angelov N
AU  - Eswaran SVK
AU  - Halpin R
AU  - Chang J
PY  - 2026
JO  - Frontiers in digital health
DO  - 10.3389/fdgth.2026.1786363
UR  - https://doi.org/10.3389/fdgth.2026.1786363
ER  - 

APA

C, S., C, M., N, A., SVK, E., R, H., & J, C. (2026). Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1786363

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