Application of Artificial Intelligence to Patient-Targeted Health Information on Kidney Stone Disease.

Journal: Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation
Published Date: Oct 13, 2023

Abstract

OBJECTIVE: The American Medical Association recommends health information to be written at a 6th grade level reading level. Our aim was to determine whether Artificial Intelligence can outperform the existing health information on kidney stone prevention and treatment.

Authors

  • Reza Kianian
    Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Matthew Carter
    Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Ilana Finkelshtein
    Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Sriram V Eleswarapu
    Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
  • Naveen Kachroo
    Department of Urology, Vattikuti Urology Institute, Henry Ford Hospital, Detroit, Michigan. Electronic address: Nkachro1@hfhs.org.

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