A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability.

Journal: Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy
Published Date: Jun 24, 2025

Abstract

INTRODUCTION: This study evaluated the reliability, quality, and readability of ChatGPT (OpenAI, San Francisco, CA), Gemini (Google, Mountain View, CA), and Copilot (Microsoft Corp., Washington, DC) which are among the most widely used large language models (LLMs) today in answering frequently asked questions (FAQs) related to pediatric dialysis.

Authors

  • Esra Ensari
    Antalya City Hospital, Department of Paediatric Nephrology, Antalya, TR-07080, Turkey. Electronic address: dresraensari@gmail.com.
  • Esra Nagehan Akyol Onder
    Aksaray University Hospital, Department of Pediatric Nephrology, Aksaray, Turkey.
  • Pelin Ertan
    Manisa Celal Bayar University, School of Medicine, Department of Paediatric Nephrology, Manisa, TR-45010, Turkey. Electronic address: pelinertan@hotmail.com.

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