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systematic-screening-ops

Automate search, deduplication, and initial classification of biomedical literature.

Updated Aug 27, 2026
Search Tags:#automation#systematic review#PRISMA#biomedical research#literature management#literature screening
One-click install
npx skills add https://github.com/hanumin/Tumi-DentAI-ResearchNexus --skill systematic-screening-ops
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: systematic-screening-ops
Source: https://github.com/hanumin/Tumi-DentAI-ResearchNexus/tree/main/hermes-skills/systematic-screening-ops
Command: npx skills add https://github.com/hanumin/Tumi-DentAI-ResearchNexus --skill systematic-screening-ops

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

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.

Frequently Asked Questions about systematic-screening-ops

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate literature screening for a systematic review?▼

Automated literature screening uses AI to fetch, deduplicate, and classify abstracts from databases like PubMed. This workflow requires seed labeling by human reviewers to validate initial AI classifications before final inclusion.

Can I use ASReview with PubMed search results for biomedical systematic reviews?▼

Yes, ASReview integrates with PubMed search results for biomedical systematic reviews. The workflow separates search and metadata hygiene from high-volume abstract screening, exporting datasets in formats like RIS or CSV for tool compatibility.

What is the best way to manage PRISMA compliance during AI-assisted literature screening?▼

PRISMA compliance during AI-assisted screening is managed by maintaining audit trails for search, filtering, and extraction procedures. This ensures transparency and reproducibility throughout the literature management pipeline.

Does the systematic screening workflow make final inclusion decisions automatically?▼

No, the systematic screening workflow uses a human-in-the-loop validation approach. Users provide initial seed labeling to avoid AI-only decisions, ensuring researchers make the final inclusion decisions for systematic reviews.

How do I deduplicate search results from multiple literature databases for meta-analysis?▼

Deduplication of search results from multiple literature databases is handled automatically during the pipeline stage. It integrates sources like Crossref and PubMed, performing metadata hygiene before high-volume abstract screening begins.

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