Identification of kidney-related medications using AI from self-captured pill images.

Journal: Renal failure
Published Date:

Abstract

INTRODUCTION: ChatGPT, a state-of-the-art large language model, has shown potential in analyzing images and providing accurate information. This study aimed to explore ChatGPT-4 as a tool for identifying commonly prescribed nephrology medications across different versions and testing dates.

Authors

  • Mohammad S Sheikh
    Division of Nephrology and Hypertension, Mayo Clinic Minnesota, Rochester, MN, USA.
  • Benjamin Dreesman
    Department of Pharmacy, Mayo Clinic, Rochester, MN, USA.
  • Erin F Barreto
    Department of Pharmacy, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, Minnesota, USA.
  • Charat Thongprayoon
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Jing Miao
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Supawadee Suppadungsuk
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Michael A Mao
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Jacksonville, FL 32224, USA.
  • Fawad Qureshi
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
  • Justin H Pham
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
  • Iasmina M Craici
    Division of Nephrology and Hypertension, Mayo Clinic Minnesota, Rochester, MN, USA.
  • Kianoush B Kashani
    Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, Minnesota, USA.
  • Wisit Cheungpasitporn
    Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.