How do I install the Radiology Research skill?

Run npx skillmds@latest add aizech/radiology-research in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Radiology Research safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Radiology Research?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Radiology Research free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Radiology Research?

aizech (@aizech) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Radiology Research by aizech — Agent Skill

Name: Radiology Research
Author: aizech

File contents

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

---name: radiology-researchdescription: 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.---# 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 FormatReturns 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_paperstopic: deep learning chest X-ray pneumoniatime_range: last_2_yearsresearch_type: evidence_summarytopic: MRI vs CT for appendicitis diagnosismodality: CT, MRI```## IntegrationLinks to:- pubmed-search for detailed literature access- guideline-integration for society recommendations- cross-reference-linking for related cases

Frequently asked questions

Radiology Research