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

Development and Evaluation of Research Methods, Instruments and Tools (1400) Clinical Informatics (2367) Information Retrieval (496) Decision Support for Health Professionals (2316) Artificial Intelligence (4945) Generative Language Models Including ChatGPT (1606)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84251, first published .
Doctor typing on laptop with stethoscope on desk

Evaluating the Accuracy of Medical Information Generated by ChatGPT and Gemini and Its Alignment With International Clinical Guidelines From the Surviving Sepsis Campaign: Comparative Study

Evaluating the Accuracy of Medical Information Generated by ChatGPT and Gemini and Its Alignment With International Clinical Guidelines From the Surviving Sepsis Campaign: Comparative Study

Authors of this article:

Dina Kutbi1, 2 Author Orcid Image ;   Ehab Abou-Bakr3, 4 Author Orcid Image ;   Hassan Mousa Haidar2 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Arı M, İlçin N, Yağcıoğlu H, Akkar İ. Quality, readability, and patient safety of ChatGPT-generated responses to fall-related questions in older adults: a multidisciplinary evaluation. Revista da Associação Médica Brasileira 2026;72(8) View
  2. Al-waqeerah A, Bashah A, Ghaleb E, He H, Gao L. AI in respiratory care: findings from the GOLD report. Journal of Translational Medicine 2026;24(1) View
  3. Cui S, Zhai Y, Zhao H, Yu X, Luo Q, Shan J, Xia J, Huang X, Cui Z, Wan Y, Li S. Performance of large language models in managing spinal cord stimulation inquiries: A comparative study. DIGITAL HEALTH 2026;12 View