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

Research Methodology - AI (49) Chatbots and Conversational Agents (787) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (746) Artificial Intelligence (2349) Mobile Health (mhealth) (3657) Mobile Health and Apps for Maternal and Child Health (228)

Published on in Vol 5 (2026)

This is a member publication of University of Texas Health Science Center at San Antonio School of Nursing

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84145, first published .
Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach

Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach

Training an AI Chatbot to Manage Health in Underserved Populations: Methodological Approach

Authors of this article:

Allison Diane Ihle1 Author Orcid Image ;   Breann Wicks1 Author Orcid Image ;   Vangelis Metsis2 Author Orcid Image ;   Autumn Starfall3 Author Orcid Image ;   Fleur Clapham3 Author Orcid Image ;   Aleksei Gorbachev3 Author Orcid Image ;   Sean Shanley3 Author Orcid Image ;   Christina Strauser1 Author Orcid Image ;   Jacqueline M McGrath1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Allison Diane Ihle   1 , FAAN, PhD ;   Breann Wicks   1 , BSN ;   Vangelis Metsis   2 , PhD ;   Autumn Starfall   3 , BS, BA ;   Fleur Clapham   3 , BS ;   Aleksei Gorbachev   3 , PhD equivalent ;   Sean Shanley   3 , BS ;   Christina Strauser   1 , LPN ;   Jacqueline M McGrath   1 , FAAN, PhD

1 The University of Texas Health at San Antonio, San Antonio, TX, United States

2 Texas State University, San Marcos, TX, United States

3 Scalable Care, San Francisco, CA, United States

Corresponding Author:

  • Allison Diane Ihle, FAAN, PhD
  • The University of Texas Health at San Antonio
  • 7703 Floyd Curl Drive
  • San Antonio, TX 78229
  • United States
  • Phone: 1 2107399921
  • Email: ALLISONIHLE08@GMAIL.COM