Document Type

Abstract

Publication Date

2-11-2026

Academic Year

2025-2026

Comments

Presented at the 2026 Scholarly Inquiry (SI) Research Project Symposium.

Abstract

Introduction: Although Artificial Intelligence (AI) is expected to become an essential clinical tool, its incorporation into the undergraduate medical curricula is disproportionately lacking. Notably, limited research remains on medical student use and perspective on AI, specifically within small-group learning settings. This study explores AI use and perspectives among medical students within Case-Based Learning (CBL) groups at Sidney Kimmel Medical College (SKMC) with the aim to establish a formal AI curriculum.

Methods: The population studied includes the Class of 2028 at SKMC. An anonymous Qualtrics survey was distributed within the class Group Me between April and May 2025, exploring student demographics, previous exposures to AI, current uses of AI in CBL, and attitudes on AI in medical education. Descriptive statistics was used to analyze survey responses.

Results/Conclusions: The survey response rate was 37.9% among a class of 277 students. Most students report using AI in CBL (87.8%), with an overwhelming majority of respondents (97.5%) using ChatGPT. Students are primarily using AI for the purposes of filling in personal learning gaps (85%) and answering Learning Objectives (LOs) (70%). Most students believe AI effectively meets their academic needs (77.5%) and that medical students should be trained in using AI (85.4%). Though limited by a low response rate, these findings demonstrate widespread AI use within small-group learning settings among this cohort and a student-driven need for structured AI education within the CBL curriculum.

Additional Files
Pamplona_Clarice_poster.pdf (3565 kB)

Language

English

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