Purpose
Artificial Intelligence is now an integral part of the academic world and, when used properly and in the right context, has the potential to enable us humans to focus on higher-order concepts and work, rather than mindless busy work. We aim to design an AI reference-checking tool that can analyze references in the right context (use, citation, and meaning) making the task of a reviewer for peer-reviewed journals that much easier.

Methods
To have an AI tool capable of analyzing manuscripts submitted for review and their references will require a comprehensive multidisciplinary approach. We aim to design this tool by collecting feedback from medical science educators and reviewers. Scanning the code on the poster will direct the user to an online form that will collect information about the user experience as a reviewer for peer-reviewed journals and their specific requirements for a reference analyzing tool. Data collected will be used in designing the tool using the resources of three universities (an allopathic and osteopathic medical school and one computing school).

Results
We hope to generate a “wish list" of desired features for a review tool and to provide specific insights for AI experts and software developers using feedback from medical science educators and reviewers.

Conclusion
AI evolves very fast, sometimes faster than society’s capacity to analyze all implications of its use. It is the responsibility of us, modern scientists and educators, to respond to the challenges raised using AI. We hope that by designing and developing an AI analyzing tool we would relieve reviewers of the tedium of reference checking, allowing them to focus on evaluating the scientific merit of the paper. The feedback gathered will be an essential part of the design of a context-aware reference-checking tool.