LEAPPT: Leveraging gEnerative Artificial Intelligence-Pediatric Pulmonology Training. Curriculum and content development.

Creator(s)

Alvin Singh, Children's Mercy HospitalFollow
Erin Khan, Children's Mercy Kansas CityFollow
Mary Moffatt, Children's Mercy HospitalFollow

Document Type

Article

Publication Date

3-1-2026

Identifier

DOI: 10.1093/atsscholar/aapaf007

Abstract

After redesigning the curriculum of the pediatric pulmonology fellowship program at Children's Mercy-Kansas City, leadership continued to make changes based on feedback from a faculty survey concerned about the quality and structure of didactics. These changes included leveraging generative artificial intelligence to create a detailed course content outline containing specific objectives and study points for each subject related to pediatric pulmonology. Using the content outline as a foundational reference for learners, fellowship leadership continues to enhance the curriculum by creating testing questions, flipped classroom sessions and evaluations, and hope that these specific changes will help address decreased passing rates on board certifying exams.

Journal Title

ATS Sch

Volume

7

Issue

1

First Page

9

Last Page

15

MeSH Keywords

Pulmonary Medicine; Humans; Curriculum; Pediatrics; Artificial Intelligence; Fellowships and Scholarships; Generative Artificial Intelligence

PubMed ID

41818784

Keywords

board preparation; content outline; medical education; pediatric subspecialty; program development

Comments

This article is available under the Creative Commons CC-BY-NC license and permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.

Publisher's Link: https://doi.org/10.1093/atsscholar/aapaf007

Recommended Citation

Singh AV, Khan E, Moffat M. LEAPPT: Leveraging gEnerative Artificial Intelligence-Pediatric Pulmonology Training. Curriculum and content development. ATS Sch. 2026;7(1):9-15. doi:10.1093/atsscholar/aapaf007