ArticleATS scholar2026
LEAPPT: Leveraging gEnerative Artificial Intelligence-Pediatric Pulmonology Training. Curriculum and content development.
Article in ATS scholar, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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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.
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Registered trials
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