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Skip search results from other journals and go to results- 3 JMIR Medical Education
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Additionally, the broad availability of LLMs such as Chat GPT, Gemini, and Bing has facilitated extensive comparative studies across various domains. For example, 1 study evaluated these models using case vignettes in physiology and found that Chat GPT-3.5 outperformed Bing and Google Bard (an old version of Gemini), indicating its superior effectiveness in case-based learning [13].
JMIR Med Educ 2025;11:e69521
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Three of the most popular generative AI models: Chat GPT (Open AI), Copilot (Microsoft Corporation), and Gemini (Google LLC), were exposed to a questionnaire about LA dose calculation once in June 2024.
JMIR AI 2025;4:e66796
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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance
Developed by Google AI, Gemini is a multimodal AI model capable of understanding and generating text, images, and other forms of data. It comes in different sizes and is optimized for various tasks and computational requirements. Gemini has shown strong performance in complex reasoning tasks and can understand context across different modalities [11].
JMIR Med Educ 2025;11:e67244
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Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models
Concerns over the generation of hallucinated citations by large language models (LLMs), such as Open AI’s Chat GPT, Google’s Gemini, and Hangzhou’s Deep Seek, warrant exploring advanced and novel methodologies to ensure citation accuracy and overall output integrity [3].
The LLMs have demonstrated a propensity to generate well‐formatted yet fictitious references—a limitation largely attributed to restricted access to subscription-based databases and their reliance on probabilistic text generation [4].
JMIR Med Educ 2025;11:e73698
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