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

RCTs - Protocols/Proposals (eHealth) (673) Machine Learning (2088) Telehealth and Telemonitoring (2095) Wearable Devices and Sensors (1146) mHealth for Telemedicine and Homecare (533) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1741) Mobile Health (mhealth) (3482)

Published on in Vol 10, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26816, first published .
Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial

Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial

Remote Mobile Outpatient Monitoring in Transplant (Reboot) 2.0: Protocol for a Randomized Controlled Trial

Authors of this article:

Kevin R Murray1, 2 Author Orcid Image ;   Farid Foroutan3 Author Orcid Image ;   Jennifer M Amadio2, 4 Author Orcid Image ;   Juan Duero Posada2, 4 Author Orcid Image ;   Stella Kozuszko4 Author Orcid Image ;   Joseph Duhamel3 Author Orcid Image ;   Katherine Tsang2 Author Orcid Image ;   Michael E Farkouh2 Author Orcid Image ;   Michael McDonald2, 4 Author Orcid Image ;   Filio Billia2, 4 Author Orcid Image ;   Edward Barber5 Author Orcid Image ;   Steven G Hershman6 Author Orcid Image ;   Mamatha Bhat4, 7 Author Orcid Image ;   Kathryn J Tinckam4, 8 Author Orcid Image ;   Heather J Ross2, 4 Author Orcid Image ;   Christopher McIntosh3 Author Orcid Image ;   Yasbanoo Moayedi2, 4 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Schuurmans M, Muszynski M, Li X, Marcinkevičs R, Zimmerli L, Monserrat Lopez D, Michel B, Weiss J, Hage R, Roeder M, Vogt J, Brunschwiler T. Multimodal Remote Home Monitoring of Lung Transplant Recipients during COVID-19 Vaccinations: Usability Pilot Study of the COVIDA Desk Incorporating Wearable Devices. Medicina 2023;59(3):617 View
  2. Lee Y, Hogan J, Maroney K, Adams A, Lynch R, Patzer R. Clinician Prediction of Early Readmission Among Kidney and Liver Transplant Recipients. Progress in Transplantation 2024;34(4):157 View
  3. Vivek K, Papalois V. AI and Machine Learning in Transplantation. Transplantology 2025;6(3):23 View
  4. Kanapari A, Lorenzoni G, Ocagli H, Gregori D. Current applications and future challenges of machine learning and artificial intelligence in clinical trials: A scoping review. DIGITAL HEALTH 2025;11 View

Conference Proceedings

  1. Guo X. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). Intelligent English Online Classroom Real-Time Feedback System based on Remote Computer Monitoring Algorithms View