VCOM Louisiana Research Day Program Book 2024

evaluate details, enhance clinical reasoning skills, and deepen their understanding of the endocrine system. Results: The student researcher will diligently document the time investment required for the collaborative fact checking process, providing insights into the efficiency and practicality of the proposed methodology. The volume and nature of modifications needed to align the AI-generated cases with the curriculum will be thoroughly cataloged, shedding light on the adaptability and accuracy of the AI-generated content. If the results demonstrate that the fact-checking process requires a reasonable time investment and the modified cases prove to be accurate and educationally relevant, this approach could revolutionize the production of curriculum matched cases. The findings will not only contribute valuable data on the feasibility and efficacy of integrating AI-generated content into medical education but also hold the potential to establish a streamlined method for the rapid and dynamic creation of educational materials aligned with evolving curriculum requirements. Following this analysis and adjustment process, I may recommend formally proposing the integration of this methodology to rapidly generate large volumes of customized cases for ongoing student education. Conclusions: The findings of this research underscore the potential of incorporating AI generated content into medical education, particularly in the context of the endocrine system. The systematic integration of expert

feedback not only enhances the reliability of the generated content but also positions the proposed approach as an effective and adaptive teaching tool. This study encourages further exploration of AI applications in medical education, envisioning broader implementation across various medical disciplines to optimize the learning experience for future healthcare professionals. By harnessing the potential of AI generated cases, students are not only exposed to realistic medical scenarios but are actively encouraged to participate in a transformative educational process. In conclusion, this research represents a significant stride toward revolutionizing medical education by seamlessly integrating AI-generated cases into the curriculum, with a dedicated emphasis on endocrine related topics. The overarching objective, as articulated throughout this study, is not merely to introduce technological advancements but to fundamentally enhance the learning journey for medical students. This innovation holds promise in nurturing a cohort of medical professionals equipped not only with foundational knowledge but also with the critical thinking and clinical reasoning skills vital for success in the dynamic healthcare landscape.

89 2024 Via Research Recognition Day