Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school.
- DOI
- 10.3389/fdgth.2026.1786363
- Published
- 2026
- Container
- Frontiers in digital health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
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
Source records
- pubmed · retrieved 2026-09-27T07:31:35.237Z