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

New Methods and Approaches in Medical Education (332) e-Learning and Digital Medical Education (836) Chatbots and Conversational Agents (678) Machine Learning (1871) Testing and Assessment in Medical Education (75) New Resources for Medical Education (100) Theme Issue: ChatGPT and Generative Language Models in Medical Education (109)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67244, first published .
Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

Large Language Models in Biochemistry Education: Comparative Evaluation of Performance

Authors of this article:

Olena Bolgova1 Author Orcid Image ;   Inna Shypilova2 Author Orcid Image ;   Volodymyr Mavrych1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Bolgova O, Ganguly P, Mavrych V. Comparative analysis of LLMs performance in medical embryology: A cross‐platform study of ChatGPT, Claude, Gemini, and Copilot. Anatomical Sciences Education 2025;18(7):718 View
  2. Mavrych V, Yousef E, Yaqinuddin A, Bolgova O. Large language models in medical education: a comparative cross-platform evaluation in answering histological questions. Medical Education Online 2025;30(1) View