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

mHealth for Rehabilitation (189) Artificial Intelligence (826) Knowledge Translation and Implementation Science (307) Back Pain (89) Innovations in Exercise Rehabilitation (188) Portable and Mobile Technologies for Rehabilitation (127)

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 Lo 1, 2 Author Orcid Image ;   Di Lei 1 Author Orcid Image ;   Le Li 1 Author Orcid Image ;   Dong Feng Huang 1 Author Orcid Image ;   Kin-Fai Tong 2 Author Orcid Image
Article Authors Cited by (18) Tweetations (11) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.