bioRxiv / medRxiv
open access
CC BY-NC 4.0
Performance of Large Language Models in Automated Medical Literature Screening: A Systematic Review and Meta-analysis
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
- Compact large language models for title and abstract screening in systematic reviews. An assessment of feasibility, accuracy, and workload reduction#185608
- A Benchmark Framework for Screening Automation in Systematic Reviews#1104497
- Large Language Models in German Continuing Medical Education Assessments: Protocol for a Fully Crossed Experimental Study.#412363
- Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study#347266
- Current applications and challenges in large language models for patient care: a systematic review#359602
Record · ID 28610
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