Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45531, first published .
Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence–Based Health Coaching Mobile App: Retrospective Cohort Study

Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence–Based Health Coaching Mobile App: Retrospective Cohort Study

Improving Kidney Outcomes in Patients With Nondiabetic Chronic Kidney Disease Through an Artificial Intelligence–Based Health Coaching Mobile App: Retrospective Cohort Study

Journals

  1. Soeno S, Liu K, Watanabe S, Sonoo T, Goto T, Shaikh A. Development of novel optical character recognition system to reduce recording time for vital signs and prescriptions: A simulation-based study. PLOS ONE 2024;19(1):e0296319 View
  2. Curtis F, Burton J, Butt A, Dhaliwal H, Graham-Brown M, Lightfoot C, Rawat R, Smith A, Wilkinson T, March D, Wu H. Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review. PLOS ONE 2024;19(1):e0297107 View
  3. Dong L, Tan L. Bibliometric and visual analyses of advancements in chronic kidney disease management. Medicine 2024;103(26):e38576 View
  4. Ma J, Wang J, Ying J, Xie S, Su Q, Zhou T, Han F, Xu J, Zhu S, Yuan C, Huang Z, Xu J, Chen X, Bian X. 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 of Medical Internet Research 2024;26:e54206 View