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

Models and Frameworks in Medical Education (133) e-Learning and Digital Medical Education (1696) New Methods and Approaches in Medical Education (698) Artificial Intelligence (5145) Generative Language Models Including ChatGPT (1698)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/107727, first published .
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An AI-Integrated Relational Curriculum Mapping Framework for Alignment and Transparency in Medical Education: Implementation Study

An AI-Integrated Relational Curriculum Mapping Framework for Alignment and Transparency in Medical Education: Implementation Study

Authors of this article:

Robert M Badeau1, 2 Author Orcid Image ;   Jennifer Laury1 Author Orcid Image ;   Danielle Dickey1, 3 Author Orcid Image
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Robert M Badeau   1, 2 , PhD, MSc, PMI-CPMAI ;   Jennifer Laury   1 , MA ;   Danielle Dickey   1, 3 , EdD

1 Office of Academic Affairs, Naresh K. Vashisht College of Medicine, Texas A&M University, Bryan, TX, United States

2 Department of Humanities in Medicine, Naresh K. Vashisht College of Medicine, Texas A&M University, Bryan, TX, United States

3 Department of Medical Education, Naresh K. Vashisht College of Medicine, Texas A&M University, Bryan, TX, United States

Corresponding Author:

  • Robert M Badeau, PhD, MSc, PMI-CPMAI
  • Office of Academic Affairs
  • Naresh K. Vashisht College of Medicine
  • Texas A&M University
  • 8447 John Sharp Pkwy
  • Bryan, TX 77807
  • United States
  • Phone: 1 979-436-0621
  • Email: rmbadeau@tamu.edu