Human Reviewers' Ability to Differentiate Human-Authored or Artificial Intelligence-Generated Medical Manuscripts: A Randomized Survey Study.

Journal: Mayo Clinic proceedings
PMID: 40057868

Abstract

OBJECTIVE: To assess the ability of humans to differentiate human-authored vs artificial intelligence (AI)-generated medical manuscripts.

Authors

  • Scott A Helgeson
    Department of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA. Electronic address: Helgeson.scott@mayo.edu.
  • Patrick W Johnson
    Department of Health Sciences Research (Biomedical Statistics and Informatics), Mayo Clinic, Jacksonville, FL (P.W.J., R.E.C.).
  • Nilaa Gopikrishnan
    Department of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Tapendra Koirala
    Department of Pulmonary and Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Pablo Moreno-Franco
    Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Rickey E Carter
    Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida.
  • Zachary S Quicksall
    Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA.
  • Charles D Burger
    Department of Pulmonary Medicine, Mayo Clinic, Jacksonville, FL, USA.

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