Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study.

Journal: Journal of medical Internet research
PMID: 39402012

Abstract

BACKGROUND: Chronic kidney disease (CKD) is a significant public health concern. Therefore, practical strategies for slowing CKD progression and improving patient outcomes are imperative. There is limited evidence to substantiate the efficacy of mobile app-based nursing systems for decelerating CKD progression.

Authors

  • Jianwei Ma
    School of Information Engineering, Henan University of Science and Technology, Luoyang 471023, Henan, China.
  • Jiangyuan Wang
    Department of Gastroenterology, Peking University People's Hospital, Beijing, China.
  • Jiapei Ying
    Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Shasha Xie
    Beijing Kidney Health Technology Co., Ltd, Beijing, China.
  • Qin Su
  • Tianmeng Zhou
    Beijing Kidney Health Technology Co., Ltd, Beijing, China.
  • Fuman Han
    Beijing Kidney Health Technology Co., Ltd, Beijing, China.
  • Jiayan Xu
    Health Science Center, Ningbo University, ningbo, China.
  • Siyi Zhu
    Department of Computer Science, Xiamen University, Xiamen 361005, China.
  • Chenyi Yuan
    Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Ziyuan Huang
    Data Science, Harrisburg University of Science and Technology, Harrisburg, PA, United States of America.
  • Jingfang Xu
    Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, China.
  • Xuyong Chen
    Beijing Kidney Health Technology Co., Ltd, Beijing, China.
  • Xueyan Bian
    Department of Nephrology, The First Affiliated Hospital of Ningbo University, Ningbo, China.

Keywords

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