Evaluation of large language models in root resorption scenarios: an ESE-aligned comparative performance assessment.

Accuracy and Completeness of Contemporary Large Language Models in Prosthodontics: An Expert-Based Comparative Study

Comparing the scientific accuracy and response completeness of four contemporary LLMs: ChatGPT-5.2, Gemini 3, Copilot, and DeepSeek-V3.2 across major prosthodontic domains and question formats shows these models may support prosthodontic education and preliminary information retrieval, but cannot replace expert clinica...

Large language models answering structured questions on external cervical resorption: a comparative study.

Development and performance of a specialized large language model for restorative treatment planning.

STATEMENT OF PROBLEM Although general-purpose large language models (LLMs) have shown some promise in supporting dental treatment planning, their performance remains suboptimal. This limitation underscores the need for specialized models tailored to restorative dentistry. PURPOSE The purpose of this study was to deve...

Comparative Evaluation of Large Language Models in Frontal Sinus Fracture Management: A Multidisciplinary Expert-Based Vignette Study.

Frontal sinus fracture management requires integration of aesthetic, sinonasal, and intracranial risks, making it a demanding test of artificial intelligence-generated clinical advice. This study compared ChatGPT, Gemini, and DeepSeek across 30 systematically developed frontal sinus fracture vignettes. Ninety model-vig...

Impact of guideline-based prompting on the large language model performance in dental trauma management clinical decision-making.

Findings support the use of guideline grounding to enhance the guideline concordance and reliability of LLM-generated responses while emphasizing the continued need for clinician oversight.

Accuracy and Consistency of Three Large Language Models on Fixed Prosthodontics Questions

Large language models (LLMs) are increasingly used in dental education and clinical settings, but their accuracy and consistency in fixed prosthodontics remain uncertain. Objectives: To compare the accuracy (using a strict three-attempt criterion) and repeated response consistency of ChatGPT-5.4, Gemini 3.1 Pro, and Cl...