Evaluating Large Language Models in Endodontic Irrigants: A Structured Assessment of Accuracy, Readability, Hallucination Subtypes and Clinical Risk.
BACKGROUND Large language models (LLMs) are increasingly used by clinicians and learners for endodontic information, yet their reliability for irrigation-related knowledge remains unclear. This study evaluated the accuracy, readability, hallucination profile, clinical risk, and temporal stability of 4 general-purpose L...