LLMs have been applied across seven distinct domains in dental education, with dental examinations the most frequent (n = 24)¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? A scoping review of 37 studies identified seven major application scenarios of LLMs in dental education, with dental examinations (n = 24) the most frequent, followed by educational information resources (n = 5) and assessment of students' assignments (n = 3). → Kong Mengjie 2025

Evidence¶

Kong Mengjie 2025¶

Kong Mengjie, Fok Elise Hoi Wan, Yiu Cynthia Kar Yung. (2025). A Scoping Review of Large Language Models in Dental Education: Applications, Challenges, and Prospects. International Dental Journal. https://doi.org/10.1016/j.identj.2025.103854

q2 · i? · review · r2

Scoping review following PRISMA-ScR guidelines, synthesizing 37 included studies. The review reports the seven application domains with their occurrence counts, stating "Dental examinations (n = 24)" as the most frequent application of LLMs in dental education.

"This review identified seven major application scenarios of LLMs in dental education, as summarized in Table 3: (1) Dental examinations (n = 24); (2) Educational information resources (n = 5); (3) perception of LLMs in dental education (n = 4); (4) assessment of students' assignments (n = 3); (5) preclinical support (n = 3); (6) generation of test questions (n = 2); (7) virtual patients (n = 1)"

Discussion¶

Related Claims¶

• Hallucination — the generation of inaccurate, unverified, or illogical content — is the most frequently reported technical challenge for LLMs in dental education — related
• LLMs underperformed on image-based dental examination questions compared with text-based questions — related
• Newer LLM versions generally outperformed older versions on dental examination questions — related