Crossmark

Performance of large language artificial intelligence models on solving restorative dentistry and endodontics student assessments

Published Online: 2024-10-07

Authors

Künzle, Paul

Paris, Sebastian
Funding

Funding for this research was provided by:

Charité - Universitätsmedizin Berlin
License Information

Text and Data Mining valid from 2024-10-07

Version of Record valid from 2024-10-07
More Information

Article History

Received: 11 July 2024

Accepted: 24 September 2024

First Online: 7 October 2024

Declarations

:

: Not Applicable.

: Not Applicable.

: No declared conflicts of interest exist among all authors of this study neither regarding authorship nor publication of this manuscript.

Document is current