OpenClaw-Medical-Skills medical-imaging-review
install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/medical-imaging-review" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-medical-imaging-review && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/medical-imaging-review" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-medical-imaging-review && rm -rf "$T"
manifest:
skills/medical-imaging-review/SKILL.mdsource content
Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
Quick Start
-
Initialize project with three core files:
- Writing guidelines and terminologyCLAUDE.md
- Staged execution planIMPLEMENTATION_PLAN.md
- Main manuscriptmanuscript_draft.md
-
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 | , |
| PubMed | Clinical validation, peer-reviewed | |
| Zotero | Existing library, organized refs | |
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 |