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

Innovations and Technology in Cancer Care (662) Digital Health Reviews (3526) mHealth for Telemedicine and Homecare (844) Theme Issue: The New Digital Normal in Health and Medicine (101)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78005, first published .
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AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review

AI-Enhanced Predictive Analytics to Optimize Tele-Oncology Implementation in Rural Settings: Scoping Review

Authors of this article:

Laiba Husain1, 2 Author Orcid Image ;   Megan Mullins1 Author Orcid Image ;   Bella Etingen1, 2 Author Orcid Image ;   Raaed Mohammed Zafar3 Author Orcid Image ;   Mediha Siddiqui4 Author Orcid Image ;   George L Jackson1, 5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Laiba Husain   1, 2 , MPH, DPhil ;   Megan Mullins   1 , MPH, PhD ;   Bella Etingen   1, 2 , MA, PhD ;   Raaed Mohammed Zafar   3 , BSc ;   Mediha Siddiqui   4 , BSc ;   George L Jackson   1, 5 , MHA, PhD

1 O’Donnell School of Public Health, UT Southwestern Medical Center, Dallas, TX, United States

2 Research and Development Service, Dallas Veterans Affairs Medical Center, Dallas, TX, United States

3 School of Behavioral and Brain Sciences, UT Dallas, Dallas, TX, United States

4 Dedman College of Humanities and Sciences, Southern Methodist University, Dallas, TX, United States

5 Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham VA Health Care System, Durham, NS, United States

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