This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (3158) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1572) Chronic Conditions (335) Nurses Supporting Self-Management of Chronic Diseases (18) Nursing and Care for Patients with Infectious or Chronic Conditions (27) mHealth in a Clinical Setting (680) Formative Evaluation of Digital Health Interventions (2823) Nephrology/Renal Disorders (82)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54206, first published .
Long-Term Efficacy of an AI-Based Health Coaching Mobile App in Slowing the Progression of Nondialysis-Dependent Chronic Kidney Disease: Retrospective Cohort Study

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

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

Authors of this article:

Jianwei Ma1, 2 Author Orcid Image ;   Jiangyuan Wang3 Author Orcid Image ;   Jiapei Ying1 Author Orcid Image ;   Shasha Xie3 Author Orcid Image ;   Qin Su1 Author Orcid Image ;   Tianmeng Zhou3 Author Orcid Image ;   Fuman Han3 Author Orcid Image ;   Jiayan Xu4 Author Orcid Image ;   Siyi Zhu5 Author Orcid Image ;   Chenyi Yuan1 Author Orcid Image ;   Ziyuan Huang1 Author Orcid Image ;   Jingfang Xu1 Author Orcid Image ;   Xuyong Chen3 Author Orcid Image ;   Xueyan Bian1 Author Orcid Image
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Journals

  1. Bhatt P, Chhillar M, Kumar A, Kukkar D, Kukkar M. Recent advancements in patented technologies for the diagnosis and treatment of chronic kidney disease. International Urology and Nephrology 2025 View