Generative Artificial Intelligence in Medical Training: Utilization Patterns Across Knowledge, Patient Care, Systems Reasoning, and Innovation

Medical Science Educator 2026 Open access

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Authors: Grace L. Park, Gary L Beck Dallaghan, Joe Bradley, Qasim Sikander, Hannah Jung, Kevin Zhang, Gregory Polites, Janet A. Jokela
DOI: 10.1007/s40670-025-02623-1
Cited by: 2
References: 10

Abstract

Since 2022, generative artificial intelligence (AI) use has grown rapidly across many sectors, including medical education. While prior research has explored perceptions of AI, the understanding of AI use amongst medical trainees has been limited. This study surveyed medical trainees to better identify the patterns of generative AI use. Results showed varying patterns based on the phase of training, with ChatGPT emerging as the predominantly used platform across all phases. While awareness of AI policies was limited, the majority reported efforts for responsible use of AI. Implications include understanding of equitable access and onboarding regarding AI use policies.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Digital Mental Health Interventions Explainable Artificial Intelligence (XAI)

Publication details

Journal / source
Medical Science Educator
Publisher
Springer Science and Business Media LLC
Volume
36
Issue
1
Pages
5–10
Publication date
4 January 2026
Language
EN