arXiv (All)
open access
Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs
Clinical questions often depend on linking a patient's multimodal evidence to external biomedical knowledge, yet existing predictive systems rarely represent such links explicitly, so they can neither be traced to their evidence sources nor removed to measure their contributions. We present MM-KG (M
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs#1194444
- Encoded but Not Routed: Explaining the Table-Chart Gap in Scientific Claim Verification#1186479
- GraphLoom: Reliability-Calibrated Graph Evidence Routing for Multimodal KG-RAG#612486
- GraphLoom: Reliability-Calibrated Graph Evidence Routing for Multimodal KG-RAG#611009
- Integration of Histologic Pattern Classifiers and Graph Convolutional Networks for Prognostic Prediction in Lung Adenocarcinoma.#666073
Record · ID 1215776
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive