Published on in Vol 9 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/84251, first published
.
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
Journals
- 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
- 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
- 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
- Demir Y, Atay H, Öztürk E. Concordance of five large language models with infectious diseases physicians on clinical decision-making: a multi-model comparative survey study. Infection 2026 View
- Alshahrani N, Alsabaani A, Almaqsudi A, Alshahrani A, Alqahtani N, Alshahrani M. Benchmarking Generative AI Chatbots in Preventive Medicine: A Comparative Analysis of Accuracy, Completeness, and Inter-Rater Reliability. Healthcare 2026;14(19):3330 View