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This review examines the roles of large language models in endodontic diagnosis, treatment planning, and predicting outcomes.

The cognitive shift: The influence of large language models on endodontic diagnosis, treatment planning, and predicting treatment outcomes – A review

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Review evaluates large language models' impact on diagnosis and treatment planning in endodontics, highlighting practical applications.

This review examines the roles of large language models in endodontic diagnosis, treatment planning, and predicting outcomes.
Comprehensive searches of electronic databases including PubMed and Scopus were conducted.
Research articles published between 2021 and 2025 were included.
Terms such as 'Generative AI', 'Large Language Models', 'Artificial Intelligence', and 'Endodontics' were used for identification.
LLMs perform comparably to board-style diagnostic reasoning tasks.
LLMs may aid in guideline-based antibiotic prescribing and assessing case complexity.
Significant limitations include issues with hallucinated outputs and patient data security.

Anugrah et al. (2026) studied this question.

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