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

Innovations in Exercise Rehabilitation (188) Wearable Devices and Sensors (706) mHealth for Treatment Adherence (345) Machine Learning (1122) mHealth for Rehabilitation (190) Emerging Technologies for Rehabilitation (199) Technology in Physiotherapy (107)

Published on in Vol 8 , No 1 (2021) :Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21374, first published .
Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study

Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study

Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study

Authors of this article:

David Burns 1, 2 Author Orcid Image ;   Philip Boyer 1 Author Orcid Image ;   Helen Razmjou 1, 3, 4 Author Orcid Image ;   Robin Richards 2, 5 Author Orcid Image ;   Cari Whyne 1, 2 Author Orcid Image
Article Authors Cited by (9) Tweetations (15) Metrics

Journals

  1. Alfakir A, Arrowsmith C, Burns D, Razmjou H, Hardisty M, Whyne C. Detection of Low Back Physiotherapy Exercises With Inertial Sensors and Machine Learning: Algorithm Development and Validation. JMIR Rehabilitation and Assistive Technologies 2022;9(3):e38689 View
  2. Cook J, Rucinski K, Crecelius C, Stannard J. Initial Outcomes After Unicompartmental Tibiofemoral Bipolar Osteochondral and Meniscal Allograft Transplantation in the Knee Using MOPS-Preserved Fresh (Viable) Tissues. The American Journal of Sports Medicine 2023;51(3):596 View
  3. Arrowsmith C, Burns D, Mak T, Hardisty M, Whyne C. Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning. Sensors 2022;23(1):363 View
  4. Mennella C, Maniscalco U, De Pietro G, Esposito M. The Role of Artificial Intelligence in Future Rehabilitation Services: A Systematic Literature Review. IEEE Access 2023;11:11024 View
  5. Falla D, Devecchi V, Jiménez-Grande D, Rügamer D, Liew B. Machine learning approaches applied in spinal pain research. Journal of Electromyography and Kinesiology 2021;61:102599 View
  6. Burns D, Boyer P, Arrowsmith C, Whyne C. Personalized Activity Recognition with Deep Triplet Embeddings. Sensors 2022;22(14):5222 View
  7. Fleischhacker E, Gleich J, Smolka V, Neuerburg C, Böcker W, Helfen T. The Influence of Adherence to Orthosis and Physiotherapy Protocol on Functional Outcome after Proximal Humeral Fracture in the Elderly. Journal of Clinical Medicine 2023;12(5):1762 View
  8. Boyer P, Burns D, Whyne C. Evaluation of at-home physiotherapy. Bone & Joint Research 2023;12(3):165 View

Books/Policy Documents

  1. Burns D, Abbas A, Toor J, Hardisty M. AI in Clinical Medicine. View