Title : From question to publication: A live AI workflow for evidence review, study design, and grant matching
Abstract:
Orthopedic clinicians and researchers face increasing demands to produce high-quality research alongside busy clinical responsibilities. Recent advances in Artificial Intelligence (AI), particularly agent-based tools, offer an opportunity to streamline key components of the research process; however, many clinicians remain uncertain about how to integrate these tools effectively and responsibly. This session presents a live, step-by-step demonstration of an AI-enabled research workflow using tools such as Elicit, SciSpace, and Notebook LM. Beginning with a clinically relevant orthopedic research question, attendees will observe how AI agents can be used in real time to identify research gaps, refine study rationale, and develop clear inclusion and exclusion criteria.
The session will further demonstrate how AI tools can generate structured evidence tables, organize manuscript-ready frameworks, and accelerate the progression from concept to abstract and publication. In addition, participants will be introduced to AI-assisted strategies for grant discovery and alignment, enabling more efficient identification of funding opportunities based on study design and research priorities. Emphasis will be placed on responsible AI use, including recognition and mitigation of common pitfalls such as hallucinations, bias, and suboptimal search strategies. Practical approaches to maintaining methodological rigor, transparency, and reproducibility while incorporating AI into research workflows will be highlighted.Attendees will leave with a clear, reproducible framework that can be immediately applied to enhance research productivity, improve study quality, and reduce time-to-publication within orthopedic and clinical research settings.
