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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Integrate AI detection into PACS workflow. Also use when setting up, configuring, or optimizing AI detection systems for medical imaging. Also covers Aidoc, Nvidia Clara, Zebra Medical, MaxQ AI, and Qure AI integration.
QA AI outputs, detect false positives/negatives, and validate AI results. Also use when evaluating AI system performance, reviewing AI-assisted findings, or conducting quality assurance on AI detection and reporting tools.
Guidance for AI-assisted structured reporting tools. Also use when the user mentions AI reporting, automated templating, speech-to-report, or wants to configure or optimize AI-assisted radiology reporting systems (RadAI, Abba, DeepRad).
Use LLM APIs for radiology tasks. Also use when integrating medical LLMs (MedPaLM, MedLM, Google Health, Amazon HealthLake) for report analysis, clinical reasoning, or radiology AI workflows.
Assesses medical image quality against clinical standards and identifies optimization opportunities. Use when user mentions "image quality audit", "artifact review", "dose analysis", "protocol deviation", "quality metrics", "diagnostic adequacy", or "technique optimization".
Retrieves and analyzes operational metrics from radiology information systems. Use when user mentions "radiology KPIs", "productivity metrics", "turnaround time analysis", "workload distribution", or needs operational analytics.
| name | radiology-research |
| description | 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. |
research_type (required): Type of research query
recent_papers - Latest publicationsevidence_summary - Synthesized evidenceaccuracy_metrics - Performance benchmarksguidelines_review - Professional society guidelinesclinical_trials - Ongoing trialssystematic_review - Comprehensive literature reviewtopic (required): Research topic or clinical questiontime_range (optional): Publication date filter (e.g., last 2 years)modality (optional): Specific imaging modality| Level | Evidence Type |
|---|---|
| 1 | Randomized controlled trials, meta-analyses |
| 2 | Cohort studies, case-control |
| 3 | Case series, expert opinion |
| 4 | Anecdotal reports |
Returns structured JSON with:
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
Links to: