Assessing the ability of large language models to summarize and generate maxillofacial prosthetic treatment options

Leila M Sears; Merve Köseoğlu; Stavroula Antonopoulou; Sarah Kay Youny Lee; Michael Kase; Amanda Colebeck; Yu‐Chun (Jessie) Lin; Heidi Huber; Maribeth Krzesinski; Alvin G. WEE; Cortino Sukotjo

doi:10.1111/jopr.70136

April 14, 2026Journal of ProsthodonticsOpen Access

Assessing the ability of large language models to summarize and generate maxillofacial prosthetic treatment options

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Key Points

This research aims to evaluate how well large language models can create tailored maxillofacial prosthetic treatment plans.
Evaluated multiple large language models for their summarization and generation capabilities.
Conducted assessments across different clinical scenarios.
Compared performance metrics among the models.
Copilot exhibited the lowest performance across all evaluation factors.
Gemini and DeepSeek demonstrated superior abilities in developing treatment plans.
Significant differences in effectiveness were observed between the models.

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Implication

A study assesses large language models' ability to create prosthetic treatment plans in clinical contexts, indicating varying effectiveness among models.

Abstract

The study demonstrates the ability of LLMs to develop maxillofacial prosthetic treatment plans tailored to specific clinical scenarios. There were significant differences between the abilities of the LLMs evaluated in this study. Copilot scored the lowest for all factors evaluated, and Gemini and/or DeepSeek scored the highest.

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Cite This Study

Sears et al. (2026) studied this question.

synapsesocial.com/papers/69e07c972f7e8953b7cbdc2e https://doi.org/10.1111/jopr.70136

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Assessing the ability of large language models to summarize and generate maxillofacial prosthetic treatment options

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Assessing the ability of large language models to summarize and generate maxillofacial prosthetic treatment options

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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