ArticleJournal of biomedical informatics2025
BiomedRAG: A retrieval augmented large language model for biomedicine.
Article in Journal of biomedical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction.Findings of ACL. ACL · 2026Article
- CuAgent provides a RAG-assisted intelligent framework to investigate cuproptosis.Scientific reports · 2026Article
- Assessing the accuracy and educational value of ChatGPT-generated content for core topics in cardiology: a descriptive analysis at Selçuk University Cardiology Clinic.BMC medical education · 2026Article
- Optimizing prompting strategies improves large language model classification of pain- and fatigue-related functional impact in childhood cancer survivors.Communications medicine · 2026Article
- RAG-based architectures for drug side effect retrieval using compact LLMs.Scientific reports · 2026Article
- CancerLLM: a large language model in cancer domain.NPJ digital medicine · 2026Article
- HealthContradict: Evaluating biomedical knowledge conflicts in language models.NPJ digital medicine · 2026Article
- Federated knowledge retrieval elevates large language model performance on biomedical benchmarks.GigaScience · 2026Article
- IFNg_DeepKG: A Novel Model for Identifying Interferon-Gamma-Inducing Epitopes Using Knowledge Graph RAG in Biomedical Applications.Journal of chemical information and modeling · 2026Article
- Exploring transformer models: Fine-tuning VS inference on relation extraction from biomedical texts.Computational and structural biotechnology journal · 2026Article
- Using AI to enhance healthcare resource management and allocation: A focus on the autism community in Alabama.PloS one · 2026Article
- Accurate Clinical Entity Recognition and Code Mapping of Anatomopathological Reports Using BioClinicalBERT Enhanced by Retrieval-Augmented Generation: A Hybrid Deep Learning Approach.Bioengineering (Basel, Switzerland) · 2025Article
- Queryome: Orchestrating Retrieval, Reasoning, and Synthesis across Biomedical Literature.bioRxiv : the preprint server for biology · 2025Article
- Benchmarking retrieval-augmented large language models in biomedical NLP: Application, robustness, and self-awareness.Science advances · 2025Article
- Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review.Journal of medical Internet research · 2025Article
- OmniCellAgent: Towards AI Co-Scientists for Scientific Discovery in Precision Medicine.bioRxiv : the preprint server for biology · 2025Article
- Reconciling multiple connectivity-based systems biology methods for drug repurposing.Briefings in bioinformatics · 2025Review
- RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models.Proceedings of the conference. Association for Computational Linguistics. Meeting · 2025Article
- Benchmarking of Large Language Models for the Dental Admission Test.Health data science · 2025Article
- Large language models in clinical nutrition: an overview of its applications, capabilities, limitations, and potential future prospects.Frontiers in nutrition · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potentially introducing noise and affecting the generation quality. To address these issues, we propose a novel BiomedRAG framework that directly feeds automatically retrieved chunk-based documents into the LLM. Our evaluation of BiomedRAG across four biomedical natural language processing tasks using eight datasets demonstrates that our proposed framework not only improves the performance by 9.95% on average, but also achieves state-of-the-art results, surpassing various baselines by 4.97%. BiomedRAG paves the way for more accurate and adaptable LLM applications in the biomedical domain.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.