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This paper is in the following e-collection/theme issue:

Precision Medicine (434) Clinical Information and Decision Making (3684) Generative Language Models Including ChatGPT (1503) AI Language Models in Health Care (739) Foundation Models and Their Applications in AI (112)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67201, first published .
Doctor in scrubs praying by a hospital bed with a monitor

A Knowledge-Enhanced Platform (MetaSepsisKnowHub) for Retrieval Augmented Generation–Based Sepsis Heterogeneity and Personalized Management: Development Study

A Knowledge-Enhanced Platform (MetaSepsisKnowHub) for Retrieval Augmented Generation–Based Sepsis Heterogeneity and Personalized Management: Development Study

Authors of this article:

Chi Zhang1 Author Orcid Image ;   Hao Yang1, 2, 3 Author Orcid Image ;   Xingyun Liu1 Author Orcid Image ;   Rongrong Wu1 Author Orcid Image ;   Hui Zong1 Author Orcid Image ;   Erman Wu1 Author Orcid Image ;   Yi Zhou1 Author Orcid Image ;   Jiakun Li1, 4 Author Orcid Image ;   Bairong Shen1 Author Orcid Image
Article Authors Cited by (11) Tweetations Metrics

Journals

  1. AbuHaweeleh M, Chowdhury A, Newaz M, Saha P, Islam K, Kumar J, Chowdhury M, Pedersen S. Sepsis mortality prediction using machine learning and deep learning - a systematic review. BMC Medical Informatics and Decision Making 2025;26(1) View
  2. Bu Z, Sun Y, Shi Z, Hu L, Ju C, Liu Y, An J, Sun H, Liu J, Liu Z. Prognostic Prediction Models for Ulcerative Colitis: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e71944 View
  3. Zheng X, Bi C, Bo W, Zhang Y, Song J, Du J, Hu S, Feng J, Yang L, Shen B. DRPMKB1.0: A Comprehensive Knowledge Base for an AI-Oriented Drug Repositioning Prediction Model. Journal of Chemical Information and Modeling 2026;66(1):122 View
  4. Wang J, Zong H, Zhang Y, Liu X, Shen K, Li X, Wu R, Jiang M, Cebrián D, Dopico J, Shen B. CirRFKB: A knowledgebase of circadian-related risk factors for cancer pathogenesis and personalized medicine. Computational and Structural Biotechnology Journal 2025;27:5326 View
  5. Russ P, Bedenbender S, Einloft J, Meyer H, Wenzel L, Ganser A, Hirsch M, Grgic I. Potential of large language models for rapid clinical information support: evidence from acute kidney injury knowledge testing. Scientific Reports 2026;16(1) View
  6. Zhang Y, Song J, Bi C, Zheng X, Xu Z, Cao D, Shen B. Benchmarking Large Language Models and Prompt Engineering Strategies in Microsatellite Instability Cancers: Evaluation Study. Journal of Medical Internet Research 2026;28:e88614 View
  7. Kara S, Karcioglu A. LLMs, RAG, and agentic workflow in clinical decision support systems: bibliometric and systematic analysis. Neural Computing and Applications 2026;38(12) View
  8. Rong J, Liang M, Wang Z, Ye Z, Luo J, Liang Y. Performance and usability of retrieval-augmented large language models for stroke patient and caregiver support. DIGITAL HEALTH 2026;12 View
  9. Jiang F, Yang Q, Zheng X, Yin N, Zhang J, Lan T, Wu Y, Lin Y, Jiang K, Chen Y. A Supervised Fine-Tuned Large Language Model for Lifestyle Management in Patients With Prostate Cancer: Development and Evaluation Study. Journal of Medical Internet Research 2026;28:e92663 View
  10. Medeiros Neto L, Lino Ferreira da Silva Barros M, de Carvalho Monteiro K, Pontes Simão E, Rogério da Silva Neto S, Silva de Vasconcelos L, Pimenta J, Rodrigues I, Endo P. Generative Language Models for Disease Treatment Recommendations: A Systematic Literature Review. Journal of Healthcare Informatics Research 2026 View
  11. Zhao Y, Miao Y, Guo R, Luo Y, Wang H, Wu Y. Evaluation Methods for Inference-Time Retrieval-Augmented and Graph Retrieval-Augmented Large Language Models in Health Care: Scoping Review. Journal of Medical Internet Research 2026;28:e90046 View