Generative artificial intelligence chatbots may provide appropriate informational responses to common vascular surgery questions by patients.

Journal: Vascular
PMID: 38500300

Abstract

OBJECTIVES: Generative artificial intelligence (AI) has emerged as a promising tool to engage with patients. The objective of this study was to assess the quality of AI responses to common patient questions regarding vascular surgery disease processes.

Authors

  • Ethan Chervonski
    New York University Grossman School of Medicine, New York, NY, USA.
  • Keerthi B Harish
    New York University Grossman School of Medicine, New York, NY, USA.
  • Caron B Rockman
    Division of Vascular & Endovascular Surgery, Department of Surgery, New York University Langone Health, New York, NY, USA.
  • Mikel Sadek
    Division of Vascular & Endovascular Surgery, Department of Surgery, New York University Langone Health, New York, NY, USA.
  • Katherine A Teter
    Division of Vascular & Endovascular Surgery, Department of Surgery, New York University Langone Health, New York, NY, USA.
  • Glenn R Jacobowitz
    Division of Vascular & Endovascular Surgery, Department of Surgery, New York University Langone Health, New York, NY, USA.
  • Todd L Berland
    Division of Vascular & Endovascular Surgery, Department of Surgery, New York University Langone Health, New York, NY, USA.
  • Joann Lohr
    Dorn Veterans Affairs Medical Center, Columbia, SC, USA.
  • Colleen Moore
    InVein Clinic, Cape Girardeau, MO, USA.
  • Thomas S Maldonado
    Division of Vascular & Endovascular Surgery, Department of Surgery, New York University Langone Health, New York, NY, USA.

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