Quality of Human Expert versus Large Language Model Generated Multiple Choice Questions in the Field of Mechanical Ventilation.

Journal: Chest
Published Date: Jul 18, 2025

Abstract

BACKGROUND: Mechanical ventilation (MV) is a critical competency in critical care training, yet standardized methods for assessing MV-related knowledge are lacking. Traditional multiple-choice question (MCQ) development is resource-intensive, and prior studies have suggested that generative AI tools could streamline question creation. However, the quality of AI-generated MCQs remains unclear.

Authors

  • Sami Safadi
    Dr. Safadi is affiliated with the Division of Nephrology and Hypertension, University of Minnesota, Minneapolis, Minnesota, USA.
  • Roxana Amirahmadi
    Department of Critical Care Medicine, National Institutes of Health, Bethesda, Maryland.
  • Abdulhakim Tlimat
    Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Randal Rovinski
    Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, University of Minnesota, Minneapolis, Minnesota.
  • Junfeng Sun
    Department of Neurosurgery, Baoji People's Hospital, Baoji, 721000 Shaanxi, China.
  • Burton W Lee
    Department of Critical Care Medicine, National Institutes of Health, Bethesda, Maryland.
  • Nitin Seam
    Department of Critical Care Medicine, National Institutes of Health, Bethesda, Maryland.

Keywords

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