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

Wearables and MHealth Reviews (257) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1301) Artificial Intelligence (1186) mHealth for Data Collection and Research (907) mHealth for Wellness, Behavior Change and Prevention (2728)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35053, first published .
Emerging Artificial Intelligence–Empowered mHealth: Scoping Review

Emerging Artificial Intelligence–Empowered mHealth: Scoping Review

Emerging Artificial Intelligence–Empowered mHealth: Scoping Review

Authors of this article:

Paras Bhatt1 Author Orcid Image ;   Jia Liu2 Author Orcid Image ;   Yanmin Gong1 Author Orcid Image ;   Jing Wang3 Author Orcid Image ;   Yuanxiong Guo1 Author Orcid Image
Article Authors Cited by (23) Tweetations (48) Metrics

Paras Bhatt   1 , MSc ;   Jia Liu   2 , PhD ;   Yanmin Gong   1 , PhD ;   Jing Wang   3 , PhD ;   Yuanxiong Guo   1 , PhD

1 Department of Electrical & Computer Engineering, The University of Texas at San Antonio, San Antonio, TX, United States

2 The University of Texas Health Science Center at San Antonio, San Antonio, TX, United States

3 Florida State University, Tallahassee, FL, United States

Corresponding Author:

  • Yuanxiong Guo, PhD
  • Department of Electrical & Computer Engineering
  • The University of Texas at San Antonio
  • 1 UTSA Circle
  • San Antonio, TX, 78249
  • United States
  • Phone: 1 210 458 8028
  • Email: yuanxiong.guo@utsa.edu