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Radiology research

Skill aizech/clinical-skills/.windsurf/skills/radiology-research

A collection of AI agent skills focused on medical imaging and healthcare workflows. Built for radiologists, healthcare IT professionals, and researchers who want AI coding agents to help with imaging workflows, clinical documentation, AI integration, and medical research. Works with Claude Code, Codex, Cursor, Windsurf, and many other agents.

Install
npx -y skills add aizech/clinical-skills --skill radiology-research

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Access and synthesize medical imaging research literature. Use when user mentions "recent research on", "literature review", "published studies", "evidence for", or needs to find relevant research.

SKILL.md

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Radiology Research Skill

Triggers

  • "recent research on"
  • "literature review"
  • "published studies"
  • "evidence for"
  • "systematic review"
  • "clinical trials"
  • "accuracy metrics"
  • "what does the evidence say"

Parameters

  • research_type (required): Type of research query
    • recent_papers - Latest publications
    • evidence_summary - Synthesized evidence
    • accuracy_metrics - Performance benchmarks
    • guidelines_review - Professional society guidelines
    • clinical_trials - Ongoing trials
    • systematic_review - Comprehensive literature review
  • topic (required): Research topic or clinical question
  • time_range (optional): Publication date filter (e.g., last 2 years)
  • modality (optional): Specific imaging modality

Research Quality Levels

LevelEvidence Type
1Randomized controlled trials, meta-analyses
2Cohort studies, case-control
3Case series, expert opinion
4Anecdotal reports

Key Research Areas

AI/ML in Radiology

  • Diagnostic accuracy studies
  • Performance benchmarking
  • External validation results
  • Clinical implementation outcomes

Imaging Techniques

  • Protocol optimization
  • New sequence development
  • Contrast agent innovations
  • Dose reduction techniques

Clinical Applications

  • Screening effectiveness
  • Diagnostic accuracy by condition
  • Treatment monitoring
  • Prognostic imaging markers

Literature Sources

  • PubMed/MEDLINE (primary)
  • RSNA Radiology (journal)
  • Academic Radiology (journal)
  • European Radiology (journal)
  • arXiv (preprints)
  • ClinicalTrials.gov (trials)

Output Format

Returns structured JSON with:

  • Citation list with relevance scores
  • Key findings summary
  • Accuracy metrics (sensitivity, specificity, AUC)
  • Study quality indicators
  • Clinical applicability notes

Usage Examples

research_type: recent_papers
topic: deep learning chest X-ray pneumonia
time_range: last_2_years

research_type: evidence_summary
topic: MRI vs CT for appendicitis diagnosis
modality: CT, MRI

Integration

Links to:

  • pubmed-search for detailed literature access
  • guideline-integration for society recommendations
  • cross-reference-linking for related cases

Gives 0 of the 12 instructions most research analysis skills give

Counted across 1,063 of the 1,754 authors here whose files we hold, read 2026-08-06

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  • analyze the codebase to understand the productin 19 of 1063, across 1 file
  • ask clarifying questions about the value propositionin 19 of 1063, across 1 file
  • look for signals of immediate needin 19 of 1063, across 1 file
  • identify the target decision maker rolein 19 of 1063, across 1 file
  • suggest a personalized contact strategyin 19 of 1063, across 1 file
  • provide conversation starters for outreachin 19 of 1063, across 1 file

Said here and by no other author read

  • filter publications by the provided time range
  • filter research by the specified imaging modality
  • return citation lists with relevance scores
  • report accuracy metrics including sensitivity and specificity
  • include study quality indicators
  • add clinical applicability notes

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

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