NCBI PubMed Central
open access
Knowledge-Augmented Large Language Model for Multimodal Electronic Health Record-Based Risk Prediction: Development and Validation Study.
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
- Evaluating the Reliability of Multiple Large Language Models in Risk Assessment: A CIS Controls Based Approach#160753
- Application of large language models in clinical decision-making for dry eye disease.#326973
- "Death by a thousand taxonomies?": AI Risk Classification In Practice#677719
- "Death by a thousand taxonomies?": AI Risk Classification In Practice#674518
- Large-Scale Large Language Model (LLM)-Assisted Report Mining for Elbow Tendon Co-occurrence Epidemiology: Prevalence, Association, and Validation.#1054150
Record · ID 320500
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