NCBI PubMed Central
open access
Benchmarking public large language model responses to patient-facing inflammatory bowel disease questions: informational quality, transparency proxies, and readability.
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
- Comparing Human and Large Language Model Responses to Patients Online Questions: Towards Multi-dimensional Patient-centered Support#456617
- Domain-specific versus general large language models: a review and empirical benchmark in real medical texts.#449819
- Validation of a Prediction Model for Inadequate Bowel Preparation#918566
- Optimising large language models for clinical information extraction: a benchmarking study in the context of ulcerative colitis research.#335027
- Caregiver burden in inflammatory bowel disease: a systematic review and meta-analysis.#322873
Record · ID 138577
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