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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Establishing a Health CASCADE-Curated Open-Access Database to Consolidate Knowledge About Co-Creation: Novel
Danielle Marie Agnello1, Quentin Emile Armand Loisel1, Qingfan An2
1School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, United Kingdom.
This study developed an AI-assisted method to create a comprehensive co-creation literature database, consolidating fragmented knowledge and identifying best practices for researchers.
Area of Science:
- Social Sciences
- Health Sciences
- Environmental Sciences
Background:
- Co-creation research is fragmented due to inconsistent terminology and the overwhelming volume of publications.
- This fragmentation hinders the democratization of research and the integration of diverse perspectives.
- A unified approach is needed to consolidate and investigate the co-creation literature.
Conclusions:
- Created a high-quality, open-access co-creation database using human-AI collaboration.
- The database clarifies the co-creation landscape, including co-creation, co-design, and co-production.
- This resource supports literature reviews and addresses barriers in co-creation research.
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