Agent skill · Code Review & Quality

medical-imaging-review

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.

LeonChaoXgithub.com/LeonChaoXGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 4 KB
Bundled scripts: none
Version: 2.0.0
Declared author: user
Allowed tools: -Read-Write-Edit-Glob-Grep-Bash
Path: skills/02-科学写作与学术交流/medical-imaging-review/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 759
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Medical Imaging AI Literature Review Skill Write comprehensive literature reviews following a systematic 7-phase workflow. ## Quick Start 1. **Initialize project** with three core files: - `CLAUDE.md` - Writing guidelines and terminology - `IMPLEMENTATION_PLAN.md` - Staged execution plan - `manuscript_draft.md` - Main manuscript 2. **Follow the 7-phase workflow** (see [references/WORKFLOW.md](references/WORKFLOW.md)) 3. **Use domain-specific templates** (see [references/DOMAINS.md](references/DOMAINS.md)) --- ## Core Principles ### Writing Style - **Hedging language**: "may", "suggests", "appears to", "has shown promising results" - **Avoid absolutes**: Never say "X is the best method" - **Citation support**: Every claim needs reference - **Limitations**: Each method section needs a Limitations paragraph ### Required Elements - **Key Points box** (3-5 bullets) after title - **Comparison table** for each major section - **Performance metrics**: Dice (0.XXX), HD95 (X.XX mm) - **Figure placeholders** with detailed captions - **References**: 80-120 typical, organized by topic ### Paragraph Structure ``` Topic sentence (main claim) → Supporting evidence (citations + data) → Analysis (

What's inside
Steps it walks through
  1. Quick Start
  2. Core Principles
  3. Writing Style
  4. Required Elements
  5. Paragraph Structure
  6. Literature Sources
  7. Standard Review Structure
  8. Method Description Template
  9. Citation Patterns
  10. Reference Files
Ships with 5 files
  • references/DOMAINS.md
  • references/MCP_SETUP.md
  • references/QUALITY_CHECKLIST.md
  • references/TEMPLATES.md
  • references/WORKFLOW.md
More from qinyan-academic-skills
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About this skill
What does the medical-imaging-review skill do?

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.

How do I install it?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill medical-imaging-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From LeonChaoX/qinyan-academic-skills, a repository with 759 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going