NCBI PubMed Central
open access
Diagnostic Performance of a Large Language Model (ChatGPT‐4o) in Chronic Rhinosinusitis CT Scan Interpretation.
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
- Evaluation of the performance of large language models in responding to medical questions related to multiple sclerosis: A case study of large language models including ChatGPT, Gemini, Grok and Copilot.#174400
- Comparing the text-based diagnostic reasoning performance of emergency medicine physicians and large language models in both definitive and differential diagnoses using standardized clinical vignettes: a preliminary study.#420934
- LLM4CKD: Large Language Models for Early Stage Chronic Kidney Disease Screening#639668
- The Effectiveness of Topical Silver Colloid in Treating Patients With Recalcitrant Chronic Rhinosinusitis#180417
- A Study to Evaluate 611 in Patients With Chronic Rhinosinusitis With Nasal Polyps#862019
Record · ID 174796
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