Medical Students’ Perceptions of Retrieval-Augmented Generation and Large Language Models: Dyadic Interview and Exploratory Survey Study

doi:10.2196/106157

Published on 30.Oct.2026 in Vol 10 (2026)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/106157, first published 03.Jul.2026.

Young doctor in blue scrubs studying medical charts on laptop

Medical Students’ Perceptions of Retrieval-Augmented Generation and Large Language Models: Dyadic Interview and Exploratory Survey Study

Rohin Athavale¹

; Alexander Cresswell¹

; Alice Huffman¹

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Please cite as:

Athavale R, Cresswell A, Huffman A
Medical Students’ Perceptions of Retrieval-Augmented Generation and Large Language Models: Dyadic Interview and Exploratory Survey Study
JMIR Form Res 2026;10:e106157
doi: 10.2196/106157 PMID: 42962066

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

Formative Evaluation of Digital Health Interventions (5442) e-Learning and Digital Medical Education (1678) Natural Language Processing (1353) Ontologies, Classifications, and Coding (477) Artificial Intelligence (5085)

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