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

Artificial Intelligence (AI) in Medical Education (671) e-Learning and Digital Medical Education (1535) Student/Learners Perceptions and Experiences with Educational Technology (251) New Methods and Approaches in Medical Education (610) Pharmacology and Pharmaceutics (158) Generative Language Models Including ChatGPT (1423)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81264, first published .
Doctor in blue scrubs using a tablet in a hospital hallway

Comparing AI-Assisted Problem-Solving Ability With Internet Search Engine and e-Books in Medical Students With Variable Prior Subject Knowledge: Cross-Sectional Study

Comparing AI-Assisted Problem-Solving Ability With Internet Search Engine and e-Books in Medical Students With Variable Prior Subject Knowledge: Cross-Sectional Study

Authors of this article:

Ajiith Xavier1 Author Orcid Image ;   Syed Shariq Naeem1 Author Orcid Image ;   Waseem Rizwi1 Author Orcid Image ;   Hiramani Rabha1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Nagao K, Umemura M, Iida Y, Kaneko M, Yamamoto T. Comparing conventional and generative AI-assisted task performance in physiology education. Advances in Physiology Education 2026;50(2):664 View
  2. Supriadi N, Suherman S. Integration of generative AI in creative mathematics learning: A correlational analysis between the quality of prompts and the logical reasoning of student teachers in the education degree programme. Revista de Educación a Distancia (RED) 2026;26(84) View
  3. Zhang H, Qu L, Bai H, Chen Y, Ji R, Cheng Z, Yang C. Beyond accuracy: evaluating the reliability of large language models for medical assessment. Frontiers in Artificial Intelligence 2026;9 View