AI-generated text in otolaryngology publications: a comparative analysis before and after the release of ChatGPT.

Journal: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PMID: 39014250

Abstract

PURPOSE: This study delves into the broader implications of artificial intelligence (AI) text generation technologies, including large language models (LLMs) and chatbots, on the scientific literature of otolaryngology. By observing trends in AI-generated text within published otolaryngology studies, this investigation aims to contextualize the impact of AI-driven tools that are reshaping scientific writing and communication.

Authors

  • Jonathan M Carnino
    Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. jcarnino@bu.edu.
  • Nicholas Y K Chong
    Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
  • Henry Bayly
    Boston University School of Public Health, Boston, MA, USA.
  • Lindsay R Salvati
    Boston University School of Public Health, Boston, MA, USA.
  • Hardeep S Tiwana
    Washington State University Elson S. Floyd College of Medicine, Spokane, WA, USA.
  • Jessica R Levi
    Boston University School of Medicine, Boston, Massachusetts, United States.

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