Gamified Optimized Diabetes Management With Artificial Intelligence–Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial

Authors

Tanjila Nawshin (ORCID: https://orcid.org/0000-0001-9823-0127)
Tapan S. Mehta (ORCID: https://orcid.org/0000-0002-2016-2344)
Mohanraj Thirumalai (ORCID: https://orcid.org/0000-0001-9768-3829)
Aseel El Zein (ORCID: https://orcid.org/0000-0001-7629-1455)
Tejossy John
Caroline W. Cohen (ORCID: https://orcid.org/0000-0002-3915-714X)
Andrea Cherrington (ORCID: https://orcid.org/0000-0002-8321-3567)
Tejaswini Subhash Chilke (ORCID: https://orcid.org/0009-0008-4983-5048)
Victoria Faught

Institutions

University of Alabama at Birmingham (US)
Lakeshore Foundation (US)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-08-28
DOI: https://doi.org/10.2196/70271
Primary Topic: Mobile Health and mHealth Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Gamified Optimized Diabetes Management With Artificial Intelligence–Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial

Tanjila Nawshin, Tapan S. Mehta, Mohanraj Thirumalai, Aseel El Zein et al.

Aug 28, 2025

JMIR Research Protocols

Mobile Health and mHealth Applications

article

Gamified Optimized Diabetes Management With Artificial Intelligence–Powered Rural Telehealth Intervention (GODART): Protocol for an Optimization Pilot and Feasibility Trial

Tanjila Nawshin, Tapan S. Mehta, Mohanraj Thirumalai, Aseel El Zein, Tejossy John, Caroline W. Cohen, Andrea Cherrington, Tejaswini Subhash Chilke, Victoria Faught

August 28, 2025article en

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

University of Alabama at Birmingham (US), Lakeshore Foundation (US)

Openalex Percentile: Top 64%

Mobile Health and mHealth Applications

DOI Open Access PDF OpenAlex

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