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

Formative Evaluation of Digital Health Interventions (5176) Undergraduate Education for Future Doctors (268) Student/Learners Perceptions and Experiences with Educational Technology (272) New Resources for Medical Education (208) Training Tools for Medical Students (208) Artificial Intelligence (AI) in Medical Education (772)

Published on in Vol 10 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82828, first published .
Medical students collaborate on a digital health platform displayed on a large screen.

Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study

Uptake of Large Language Models by London Medical Students: Exploratory Qualitative Interview Study

Authors of this article:

Maya Alazzawi1 Author Orcid Image ;   Kyle Lam1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Qutieshat A, Annamma L, Singh G, Arzmi M, Wan Ahmad Kamil W, Khasawneh L, Varma S, Carneiro Leão J, George B, Alrashdan M. Large language model use in dental education: a cross-sectional multi-country study. Medical Education Online 2026;31(1) View
  2. Hafer N, Chitre M, Fischer M, LeMoine J. Feasibility of Artificial Intelligence and human standardized patients to enhance customer discovery communication skills in medical students: preliminary evaluation of an Observational Cohort Study (Preprint). JMIR Formative Research 2026 View
  3. Xie R, Zhang B, Xiao L. Generative artificial intelligence in medical education: from knowledge assessment to clinical reasoning and professional competence. Frontiers in Medicine 2026;13 View