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

mHealth for Rehabilitation (296) Artificial Intelligence (1665) Knowledge Translation and Implementation Science (434) Back Pain (124) Innovations in Exercise Rehabilitation (238) Portable and Mobile Technologies for Rehabilitation (172)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8127, first published .
The Perceived Benefits of an Artificial Intelligence–Embedded Mobile App Implementing Evidence-Based Guidelines for the Self-Management of Chronic Neck and Back Pain: Observational Study

The Perceived Benefits of an Artificial Intelligence–Embedded Mobile App Implementing Evidence-Based Guidelines for the Self-Management of Chronic Neck and Back Pain: Observational Study

The Perceived Benefits of an Artificial Intelligence–Embedded Mobile App Implementing Evidence-Based Guidelines for the Self-Management of Chronic Neck and Back Pain: Observational Study

Authors of this article:

Wai Leung Ambrose Lo1, 2 Author Orcid Image ;   Di Lei1 Author Orcid Image ;   Le Li1 Author Orcid Image ;   Dong Feng Huang1 Author Orcid Image ;   Kin-Fai Tong2 Author Orcid Image
Article Authors Cited by (42) Tweetations (11) Metrics

Wai Leung Ambrose Lo   1, 2 , MSc, PhD ;   Di Lei   1 , MSc ;   Le Li   1 , PhD ;   Dong Feng Huang   1 , MD ;   Kin-Fai Tong   2 , PhD

1 Guangdong Engineering and Technology Research Center for Rehabilitation Medicine and Translation, Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

2 Department of Electronic and Electrical Engineering, University College London, London, United Kingdom

Corresponding Author:

  • Wai Leung Ambrose Lo, MSc, PhD
  • Guangdong Engineering and Technology Research Center for Rehabilitation Medicine and Translation
  • Department of Rehabilitation Medicine
  • The First Affiliated Hospital, Sun Yat-sen University
  • 58 Zhongshan Second Road
  • Guangzhou, 510000
  • China
  • Phone: 86 87332200 ext 8536
  • Email: ambroselo0726@outlook.com