mlsanityData to 14 Oct 2026

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation

arXiv 2508.13735 ↗First posted 19 Aug 2025cs.CLcited by 1

On the map: Retrieval-augmented generation → Medical and biomedical RAG

Abstract (arXiv)

With the widespread application of electroencephalography (EEG) in neuroscience and clinical practice, efficiently retrieving and semantically interpreting large-scale, multi-source, heterogeneous EEG data has become a pressing challenge. We propose EEG-MedRAG, a three-layer hypergraph-based retrieval-augmented generation framework that unifies EEG domain knowledge, individual patient cases, and a large-scale repository into a traversable n-ary relational hypergraph, enabling joint semantic-temporal retrieval and causal-chain diagnostic generation. Concurrently, we introduce the first cross-disease, cross-role EEG clinical QA benchmark, spanning seven disorders and five authentic clinical perspectives. This benchmark allows systematic evaluation of disease-agnostic generalization and role-aware contextual understanding. Experiments show that EEG-MedRAG significantly outperforms TimeRAG and HyperGraphRAG in answer accuracy and retrieval, highlighting its strong potential for real-world clinical decision support. Our data and code are publicly available at https://github.com/yi9206413-boop/EEG-MedRAG.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Medical and biomedical RAG, one of 15 directions in Retrieval-augmented generation. Builds on 23 of its 63 references that are in the map. First posted on arXiv 19 Aug 2025.

Builds on

23 of 63 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025MedRAG: Enhancing Retrieval-augmented Generation with Knowledge Graph-Elicited Reasoning for Healthcare Copilot6 Feb
  2. 2024TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems17 Aug

Other references · 21

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,839
  3. 2023Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoningcited by 328
  4. 2024Graph Retrieval-Augmented Generation: A Surveycited by 324
  5. 2023MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Datacited by 286
  6. 2022LinkBERT: Pretraining Language Models with Document Linkscited by 211
  7. 2024Retrieval-Augmented Generation with Graphs (GraphRAG)cited by 172
  8. 2019Deep learning-based electroencephalography analysis: a systematic reviewcited by 156
  9. 2020KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoningcited by 106
  10. 2025HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representationcited by 68
  11. 2023Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generationcited by 54
  12. 2023LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordinationcited by 46
9 more
  1. 2019DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphscited by 33
  2. 2023ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graphcited by 23
  3. 2024Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultationcited by 17
  4. 2021Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Predictioncited by 15
  5. 2024Almanac Copilot: Towards Autonomous Electronic Health Record Navigationcited by 9
  6. 2022TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Stagingcited by 8
  7. 2022DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typingcited by 7
  8. 2021An EEG-based approach for Parkinson's disease diagnosis using Capsule networkcited by 2
  9. 2025KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answeringcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Large language models in medical time series analysiscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026NeuroGRIP: Retrieval-Augmented Graph Refinement for Knowledge-Grounded EEG Seizure Diagnosis
  2. 2026NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning
  3. 2026BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding
  4. 2025BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
  5. 2025Addressing accuracy and hallucination of LLMs in Alzheimer's disease research through knowledge graphs
  6. 2025WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
  7. 2024EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping
  8. 2026Mechanistic Interpretability of EEG Foundation Models via Sparse Autoencoders