Arabian Nights or English Days? Accuracy of Large Language Models in Answering Bilingual Dental Multiple‐Choice Questions
Expanding specialised and culturally relevant datasets is essential for optimising LLMs' educational utility. This study provides key insights into LLM performance in bilingual dental education, supporting future advancements in AI-driven learning tools.
Authors
- Sohaib Shujaat (ORCID: https://orcid.org/0000-0002-6250-2650)
- Hala Alanazi (ORCID: https://orcid.org/0009-0003-5305-4256)
- Nawaf Alanazi
- Ali Aboalela (ORCID: https://orcid.org/0000-0003-0963-5574)
- Lujain Altalhi
- Reem Al Ghamdi
Institutions
- King Saud bin Abdulaziz University for Health Sciences (SA)
- King Abdullah International Medical Research Center (SA)
- National Guard Health Affairs (SA)
- KU Leuven (BE)
Publication Details
- Journal
- European Journal Of Dental Education
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1111/eje.70018
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00