systematic-screening-ops

Community

Streamline large-scale literature screening with AI-enhanced workflows.

Authorhanumin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Researchers and reviewers face the challenge of managing and screening vast amounts of biomedical literature efficiently, often leading to manual, time-consuming work that hampers timely synthesis.

Core Features & Use Cases

  • Automated Literature Pipeline: Integrates with PubMed, Crossref, and other sources to fetch and export large datasets in RIS, CSV, or TSV formats.
  • Two-Level Task Breakdown: Separates search and metadata hygiene from high-volume abstract screening using MCP and ASReview tools.
  • Human-in-the-loop Validation: Enables initial seed labelling by users or reviewers, avoiding AI-only decisions.
  • PRISMA-trAIce Compliance: Ensures audit trail and transparency in search, filtering, and extraction procedures.
  • Use Case: Conduct a systematic review on dental implant outcomes where thousands of abstracts are filtered and charted efficiently, maintaining reproducibility.

Quick Start

Initiate the screening workflow by importing search results, then use the agent to perform deduplication and screening, followed by human review for final inclusion decisions.

Dependency Matrix

Required Modules

None required

Components

referencesassets

💻 Claude Code Installation

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Please help me install this Skill:
Name: systematic-screening-ops
Download link: https://github.com/hanumin/Tumi-DentAI-ResearchNexus/archive/main.zip#systematic-screening-ops

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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