A Knowledge-Enhanced Platform (MetaSepsisKnowHub) for Retrieval Augmented Generation–Based Sepsis Heterogeneity and Personalized Management: Development Study
We highlight the pioneering MetaSepsisKnowHub platform, and we show that combining MetaSepsisKnowHub with RAG can minimize limitations on precision and maximize the breadth of LLMs to shorten the bench-to-bedside distance, serving as a knowledge-enhanced paradigm for future application of artificial intelligence in critical care medicine.
Authors
- Yi Zhou (ORCID: https://orcid.org/0000-0002-9912-581X)
- Rongrong Wu
- Hui Zong (ORCID: https://orcid.org/0000-0002-9142-5017)
- Bairong Shen (ORCID: https://orcid.org/0000-0003-2899-1531)
- Hao Yang (ORCID: https://orcid.org/0000-0002-3505-9403)
- Chi Zhang (ORCID: https://orcid.org/0009-0000-7838-9114)
- Jiakun Li (ORCID: https://orcid.org/0000-0003-4996-9907)
- Xingyun Liu (ORCID: https://orcid.org/0000-0002-9295-2767)
- Erman Wu
Institutions
- Universidade da Coruña (ES)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-06-06
- DOI
- https://doi.org/10.2196/67201
- Citations
- 4
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.42