Assessing ChatGPT responses to patient questions on epidural steroid injections: A comparative study of general vs specific queries.

Journal: Interventional pain medicine
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) is becoming more integrated into healthcare, with large language models (LLMs) like ChatGPT being widely used by patients to answer medical questions. Given the increasing reliance on AI for health-related information, it's important to evaluate how well these models perform in addressing common patient concerns, especially in procedural medicine. To date, no studies have specifically examined AI's role in addressing patient questions related to epidural steroid injections (ESIs), making this an important area for investigation.

Authors

  • Timothy Olivier
    Center for Integrative Pain Management, West Virginia University, USA.
  • Zilin Ma
    Intelligent Interactive Systems Group, Harvard School of Engineering and Applied Sciences, USA.
  • Ankit Patel
    Bombay Hospital and Research Centre, Mumbai, India.
  • Weibin Shi
    Departments of Biochemistry & Molecular Genetics, University of Virginia, Charlottesville, Virginia, United States of America.
  • Mohammed Murtuza
    Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, USA.
  • Nicole E Hatchard
    Department of Physical Medicine and Rehabilitation, Penn State Health Milton S Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA.
  • Xiaoyu Norman Pan
    Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, USA.
  • Thiru M Annaswamy
    Department of Physical Medicine and Rehabilitation, Penn State Health Milton S Hershey Medical Center, Penn State College of Medicine, Hershey, PA, USA.

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