--- name: medical-imaging-review description: "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." metadata: author: user version: "2.0.0" allowed-tools: - Read - Write - Edit - Glob - Grep - Bash - WebSearch - WebFetch - Task - mcp__arxiv-mcp-server__search_papers - mcp__arxiv-mcp-server__download_paper - mcp__arxiv-mcp-server__read_paper - mcp__pubmed-mcp-server__pubmed_search_articles - mcp__zotero__zotero_search_items - mcp__zotero__zotero_get_item_fulltext --- # 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 (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](references/MCP_SETUP.md). --- ## Standard Review Structure ```markdown # [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 ```markdown ### 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 ```markdown # 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](references/WORKFLOW.md) | Detailed 7-phase workflow | | [references/TEMPLATES.md](references/TEMPLATES.md) | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | [references/DOMAINS.md](references/DOMAINS.md) | Domain-specific method categories | | [references/MCP_SETUP.md](references/MCP_SETUP.md) | MCP server configuration | | [references/QUALITY_CHECKLIST.md](references/QUALITY_CHECKLIST.md) | Pre-submission quality checklist | --- Source attribution: FreedomIntelligence Original project: https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 FridrichMethod Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --- NOTE ON BUNDLED CONTENT This repository aggregates skills from multiple upstream projects (see the README for the source list). Each `skills//` directory may carry its own license inherited from its upstream source. The MIT license above applies to this repository's curation and the scripts/workflows in `/`, `/scripts/`, and `/.github/` — not to the upstream skill content itself. Consult the upstream repository linked in the README and any LICENSE file inside a skill directory before reusing skill content commercially. # Mega AI Hub resource metadata Creator / publisher: FreedomIntelligence Original project: https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills Attribution basis: Exact package in biomedical source index and publisher source table Fields of work: Design, Education & Research, Healthcare & Life Sciences Roles: Academic Writer, Clinical Research, Medical Writer, Researcher, UX Writer Specialties: Specialty not specified Tools: Mcp__Arxiv Mcp Server__Search_Papers, Mcp__Pubmed Mcp Server__Pubmed_Search_Articles, Mcp__Zotero__Zotero_Search_Items Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: ae146cbd9939dd2e4f3810063f8b6d802a2f550ba6ff4669cceaa26e6b76701f Metadata reviewed: 2026-10-27 This metadata supersedes earlier Mega AI Hub catalog attribution. Original instruction and supporting files are preserved.