Appropriateness of acute breast symptom recommendations provided by ChatGPT.

Journal: Clinical imaging
Published Date:

Abstract

PURPOSE: We evaluated the accuracy of ChatGPT-3.5's responses to common questions regarding acute breast symptoms and explored whether using lay language, as opposed to medical language, affected the accuracy of the responses.

Authors

  • Clifton Byrd
    H. Lee Moffitt Cancer Center and Research Institute, Division of Breast Imaging, Department of Diagnostic Imaging, 12902 USF Magnolia Drive, Tampa, FL 33612, United States of America.
  • Chase Kingsbury
    University of South Florida Morsani College of Medicine, 560 Channelside Dr, Tampa, FL 33602, United States of America.
  • Bethany Niell
    From the Departments of Radiology (J.D.M.), Oncologic Sciences (D.A., M.M.B., N.R., B.N.), and Medical Engineering (J.D.M.), University of South Florida College of Medicine, 12901 Bruce B. Downs Blvd, Tampa, FL 33612; and Department of Diagnostic Imaging and Interventional Radiology (D.A., B.N.), Department of Pathology (M.M.B.), Department of Cancer Physiology (N.R.), Quantitative Imaging CORE (M.A., O.S., I.E.N.), and Department of Machine Learning (M.M.B., I.E.N.), H. Lee Moffitt Cancer Center and Research Institute, Tampa, Fla.
  • Kimberly Funaro
    H. Lee Moffitt Cancer Center and Research Institute, Division of Breast Imaging, Department of Diagnostic Imaging, 12902 USF Magnolia Drive, Tampa, FL 33612, United States of America.
  • Asha Bhatt
    H. Lee Moffitt Cancer Center and Research Institute, Division of Breast Imaging, Department of Diagnostic Imaging, 12902 USF Magnolia Drive, Tampa, FL 33612, United States of America.
  • R Jared Weinfurtner
    H. Lee Moffitt Cancer Center and Research Institute, Division of Breast Imaging, Department of Diagnostic Imaging, 12902 USF Magnolia Drive, Tampa, FL 33612, United States of America.
  • Dana Ataya
    From the Departments of Radiology (J.D.M.), Oncologic Sciences (D.A., M.M.B., N.R., B.N.), and Medical Engineering (J.D.M.), University of South Florida College of Medicine, 12901 Bruce B. Downs Blvd, Tampa, FL 33612; and Department of Diagnostic Imaging and Interventional Radiology (D.A., B.N.), Department of Pathology (M.M.B.), Department of Cancer Physiology (N.R.), Quantitative Imaging CORE (M.A., O.S., I.E.N.), and Department of Machine Learning (M.M.B., I.E.N.), H. Lee Moffitt Cancer Center and Research Institute, Tampa, Fla.