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Embracing the use of artificial intelligence in scientific publishing

  • Phillip Phan*
  • , Sonali Desai
  • , Ezequiel Garcia Elorio
  • , David Greenfield
  • , Reece Hinchcliff
  • , Usman Iqbal
  • , Paul O'Connor
  • , Anthony Staines
  • , Rosa Sunol
  • , Aziz Sheikh
  • *Corresponding author for this work

Research output: Contribution to journal › Editorial › Research

Abstract

Generative artificial intelligence (AI) tools such as large language models (LLM) have begun to transform many industries, including health care. Scientific publishing is no exception. AI has the potential to revolutionize scientific publishing by enhancing various stages of the publication process, including manuscript screening, peer review, and content generation. AI-driven tools can analyze large datasets, identify trends, and generate hypotheses, significantly accelerating the research process. Additionally, AI can assist in the writing of scientific papers, providing researchers with tools to organize information, generate coherent narratives, and even predict peer review outcomes.
Original languageEnglish
Article numbermzae071
Pages (from-to)1-2
Number of pages2
JournalInternational Journal for Quality in Health Care
Volume36
Issue number3
DOIs
Publication statusPublished - 24 Jul 2024
Externally publishedYes

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