Generating credible referenced medical research: A comparative study of openAI's GPT-4 and Google's gemini

While Gemini demonstrates significantly superior performance in generating credible and accurate references for medical research introductions, both models produced fabricated evidence, limiting their reliability for reference searching. This snapshot comparison of two prominent AI models highlights the potential and limitations of AI in academic content creation. The findings underscore the critical need for verification of AI-generated academic content and call for ongoing research into evolving AI models and their applications in scientific writing.