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Image quality audit

Skill aizech/clinical-skills/.bob/skills/image-quality-audit

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 image-quality-audit

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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".

SKILL.md

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Image Quality Audit Skill

Triggers

  • "image quality audit"
  • "artifact review"
  • "dose analysis"
  • "protocol deviation"
  • "quality metrics"
  • "diagnostic adequacy"
  • "technique optimization"

Parameters

  • audit_type (required): Type of quality assessment
    • artifact - Motion, noise, streak artifacts
    • dose - Radiation dose optimization and DRL compliance
    • protocol - Protocol adherence and deviation analysis
    • adequacy - Diagnostic sufficiency for intended purpose
    • technique - Technical parameters review
    • comprehensive - Full quality review
  • modality (required): Imaging modality to audit
  • time_range (optional): Audit period - defaults to last 7 days
  • sample_size (optional): Studies to review - defaults to all in range
  • severity_threshold (optional): Minimum severity to flag

Evaluation Criteria

  • Artifacts: Type, severity (1-5), impact on diagnostic utility
  • Dose: DLP, CTDIvol vs. ACR reference levels, size-adjusted metrics
  • Protocol: Coverage completeness, sequence selection, contrast timing
  • Adequacy: Signal-to-noise, spatial resolution, positioning

Output Format

Returns structured JSON with:

  • Quality metrics summary
  • Severity distribution
  • Contributing factors analysis
  • Improvement recommendations ranked by impact
  • Training priorities for technologist/site issues

Usage Examples

audit_type: artifact
modality: CT
time_range: last_week
severity_threshold: 3

audit_type: dose
modality: CT
time_range: last_month

Standards Reference

  • ACR Physical Parameters for CT, MRI, Ultrasound, Mammography
  • ICRP and ACR dose reference levels
  • modality-specific practice guidelines

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