Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/medical-imaging-review
Metadata
Additional technical details for this skill
- author
- user
- version
- 2.0.0
SKILL.md
Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
Quick Start
-
Initialize project with three core files:
CLAUDE.md- Writing guidelines and terminologyIMPLEMENTATION_PLAN.md- Staged execution planmanuscript_draft.md- Main manuscript
-
Follow the 7-phase workflow (see references/WORKFLOW.md)
-
Use domain-specific templates (see 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 (critical evaluation)
→ Transition to next paragraph
Literature Sources
Use multi-source strategy for comprehensive coverage:
| Source | Best For | Tools |
|---|---|---|
| ArXiv | Latest DL methods, preprints | search_papers, read_paper |
| PubMed | Clinical validation, peer-reviewed | pubmed_search_articles |
| Zotero | Existing library, organized refs | zotero_search_items |
For MCP configuration details, see references/MCP_SETUP.md.
Standard Review Structure
# [Title]: State of the Art and Future Directions
## Key Points
- [3-5 bullets summarizing main findings]
## Abstract
## 1. Introduction
### 1.1 Clinical Background
### 1.2 Technical Challenges
### 1.3 Scope and Contributions
## 2. Datasets and Evaluation Metrics
### 2.1 Public Datasets (Table 1)
### 2.2 Evaluation Metrics
## 3. Deep Learning Methods
### 3.1 [Category 1]
### 3.2 [Category 2]
(Table 2: Method Comparison)
## 4. Downstream Applications
## 5. Commercial Products & Clinical Translation (Table 3)
## 6. Discussion
### 6.1 Current Limitations
### 6.2 Future Directions
## 7. Conclusion
## References
Method Description Template
### 3.X [Method Category]
[1-2 paragraph introduction with motivation]
**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]:
- [Key component 1]
- [Key component 2]
Achieves Dice of X.XX on [dataset].
**Limitations:** Despite advantages, [category] methods face:
(1) [limit 1]; (2) [limit 2].
Citation Patterns
# Data citation
"...achieved Dice of 0.89 [23]"
# Method citation
"Gu et al. [45] proposed..."
# Multi-citation
"Several studies demonstrated... [12, 15, 23]"
# Comparative
"While [12] focused on..., [15] addressed..."
Reference Files
| File | Purpose |
|---|---|
| references/WORKFLOW.md | Detailed 7-phase workflow |
| references/TEMPLATES.md | CLAUDE.md and IMPLEMENTATION_PLAN.md templates |
| references/DOMAINS.md | Domain-specific method categories |
| references/MCP_SETUP.md | MCP server configuration |
| references/QUALITY_CHECKLIST.md | Pre-submission quality checklist |
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