GPT-3.5 achieves an integrated accuracy of 54% on dental licensing examinations¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: tool and model accuracy changes quickly
Subclaims¶
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q is the design tier, i the impact, n the sample, and the kind with its r
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q3 i? GPT-3.5 achieved an integrated accuracy of 54% (95% CI: 48%-59%) on dental licensing examinations across 9 studies. → Liu Mingxin 2025
Evidence¶
Liu Mingxin 2025¶
Liu Mingxin, Okuhara Tsuyoshi, Huang Wenbo, Ogihara Atsushi, Nagao Hikari Sophia, Okada Hiroko, Kiuchi Takahiro. (2025). Large Language Models in Dental Licensing Examinations: Systematic Review and Meta-Analysis. International Dental Journal. https://doi.org/10.1016/j.identj.2024.10.014
q3 · i? · quant-synthesis · r3
Meta-analysis of 9 studies testing GPT-3.5 on dental licensing examinations using a random effects model due to high heterogeneity. The review reports "The integrate accuracy rate for GPT-3.5 was 54% (95% CI: 48%-59%)".
"In the results of GPT-3.5, since the I² was 79% (I² > 50%), a random effects model was used. The integrate accuracy rate for GPT-3.5 was 54% (95% CI: 48%-59%)"
Discussion¶
Related Claims¶
- GPT-4 outperforms GPT-3.5 and Bard on dental licensing examinations, achieving an integrated accuracy of 72% — related
- GPT-3.5 performs significantly better on dental licensing examinations from English-speaking countries than non-English-speaking countries — related
- GPT-4's performance on dental licensing examinations does not differ significantly between English-speaking and non-English-speaking countries — related
- Bard achieves an integrated accuracy of 56% on dental licensing examinations — related
- LLMs perform worse on dental licensing examinations than on medical licensing examinations — related
- Subgroup analyses show significant between-model differences, with Copilot (75.25%) and ChatGPT-4 (72.97%) achieving the highest pooled accuracies — related
- Newer OpenAI LLM versions achieve significantly higher pooled accuracy on biomedical MCQs than earlier versions (GPT‐4o–o1: 90%; GPT‐4: 82%; GPT‐3/3.5: 59%) — related
- Newer LLM versions generally outperformed older versions on dental examination questions — related
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