Readability, accuracy and appropriateness and quality of AI chatbot responses as a patient information source on root canal retreatment: A comparative assessment.

Journal: International journal of medical informatics
Published Date: Apr 25, 2025

Abstract

AIM: This study aimed to assess the readability, accuracy, appropriateness, and overall quality of responses generated by large language models (LLMs), including ChatGPT-3.5, Microsoft Copilot, and Gemini (Version 2.0 Flash), to frequently asked questions (FAQs) related to root canal retreatment.

Authors

  • Mine Büker
    Department of Endodontics, Faculty of Dentistry, Mersin University, Mersin, Turkey. Electronic address: mine_buker@hotmail.com.
  • Gamze Mercan
    Department of Endodontics, Faculty of Dentistry, Mersin University, Mersin, Turkey. Electronic address: gmercan7@gmail.com.

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