Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation.

Journal: BMC medical education
Published Date:

Abstract

BACKGROUND: Large language models (LLMs), such as ChatGPT-4 and Gemini, represent a new frontier in surgical education by offering dynamic, interactive learning experiences. Despite their potential, concerns about the accuracy, depth of knowledge, and bias in LLM responses persist. This study evaluates the effectiveness of LLMs in aiding surgical trainees in plastic and reconstructive surgery through comparison with traditional case-preparation textbooks.

Authors

  • Chandler Hinson
    Frederick P Whiddon College of Medicine, University of South Alabama, Mobile, AL, USA.
  • Cybil Sierra Stingl
    Stanford Department of Surgery, Division of Plastic and Reconstructive Surgery, 770 Welch Road, Palo Alto, CA, 94304, USA.
  • Rahim Nazerali
    Stanford Department of Surgery, Division of Plastic and Reconstructive Surgery, 770 Welch Road, Palo Alto, CA, 94304, USA.