Assessing Artificial Intelligence-Generated Responses to Urology Patient In-Basket Messages.

Journal: Urology practice
Published Date: Jun 24, 2024

Abstract

INTRODUCTION: Electronic patient messaging utilization has increased in recent years and has been associated with physician burnout. ChatGPT is a language model that has shown the ability to generate near-human level text responses. This study evaluated the quality of ChatGPT responses to real-world urology patient messages.

Authors

  • Michael Scott
    Department of Biomedical Engineering, Northwestern University, Chicago, Illinois.
  • Wade Muncey
    Idaho Urologic Institute, Meridian, Idaho.
  • Nicolas Seranio
    Department of Urology, Stanford University School of Medicine, Palo Alto, California.
  • Federico Belladelli
    Department of Urology, Division of Experimental Oncology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy; Department of Clinical Oncology, Division of Experimental Oncology, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Francesco Del Giudice
    Department of Chemical Engineering, Faculty of Science and Engineering, School of Engineering and Applied Science, Swansea University Fabian Way, Swansea, SA1 8EN, United Kingdom.
  • Shufeng Li
    Department of Urology, Stanford University School of Medicine, Palo Alto, California.
  • Albert Ha
    Department of Urology, Stanford University School of Medicine, Palo Alto, California.
  • Frank Glover
    Emory School of Medicine, Emory University, Atlanta, Georgia.
  • Chiyuan Amy Zhang
    Department of Urology, Stanford University School of Medicine, Palo Alto, California.
  • Michael L Eisenberg
    Department of Urology, Stanford University School of Medicine, Palo Alto, California.

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