Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease.

Journal: Frontiers in endocrinology
PMID: 40331140

Abstract

BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetes mellitus and has become the most important cause of end-stage renal disease (ESRD). In light of the rising prevalence of diabetes, there is a growing imperative for the early detection and intervention of DKD. With the rapid development of artificial intelligence (AI) technologies, its potential applications in patient education are receiving increasing attention, especially large language models (LLMs). The aim of this study was to evaluate the quality of LLMs-generated patient education materials (PEMs) for early DKD and to explore its feasibility in patient education.

Authors

  • Miaomiao Cheng
    Qilu Hospital of Shandong University, Department of Nephrology, Jinan, Shandong, China.
  • Qi Zhang
    Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
  • Hua Liang
    Qilu Hospital of Shandong University, Department of Nephrology, Jinan, Shandong, China.
  • Yanan Wang
    Vasculocardiology Department, The Third People's Hospital of Datong, Datong, Shanxi, China.
  • Jun Qin
    Qilu Hospital of Shandong University, Department of Endocrinology, Jinan, Shandong, China.
  • Lei Gong
    Qilu Hospital of Shandong University, Department of Endocrinology, Jinan, Shandong, China.
  • Sha Wang
    Qilu Hospital of Shandong University, Department of Nephrology, Jinan, Shandong, China.
  • Luyao Li
    Qilu Hospital of Shandong University, Department of Nephrology, Jinan, Shandong, China.
  • Xiaoyan Xiao
    Qilu Hospital of Shandong University, Department of Nephrology, Jinan, Shandong, China.

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