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Radiology Research

skill-aizech-clinical-skills-radiology-research · by aizech

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.

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Install

$ agentstack add skill-aizech-clinical-skills-radiology-research

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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