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

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;57(9):3045 View
  2. VO M, NGUYEN H, NGUYEN D. THE ROLE OF DIGITAL COMPETENCY IN AI-DRIVEN HEALTH MONITORING FOR THE ELDERLY: A QUANTITATIVE STUDY ON SYSTEM EFFECTIVENESS. Journal Health and Technology - JHT 2025;6(1):e4164 View
  3. Cervantes C, O’Hara D, Alvarez-Elias A, Chandra Y, Kollar M, Yi T, Hussein R, Shankar M, Meena P, Ma B, Okwuonu C, Jha V, Cervantes C, O'Hara D. Expanding Kidney Care: How Nonphysician Health Workers Can Address the Global CKD Crisis. Kidney International Reports 2025 View