medical-imaging-review

Generate literature reviews for medical imaging AI using ArXiv, PubMed, and Zotero.

Updated Aug 23, 2026

Search Tags:#deep learning #systematic review #literature review #AI research #medical imaging #survey paper

Ready to run

npx skills add https://github.com/jacketlong23/skills --skill medical-imaging-review-jacketlong23

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: medical-imaging-review
Source: https://github.com/jacketlong23/skills/tree/main/medical-imaging-review
Command: npx skills add https://github.com/jacketlong23/skills --skill medical-imaging-review-jacketlong23

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of comprehensive literature reviews for medical imaging AI research, streamlining the process of writing survey papers, systematic reviews, and in-depth analyses.

Core Features & Use Cases

Systematic Workflow: Follows a structured 7-phase process for thorough review generation.
Multi-Source Literature Search: Integrates ArXiv, PubMed, and Zotero for broad and deep research coverage.
Domain-Specific Templates: Provides templates for various medical imaging domains (e.g., CT, MRI, X-ray) and tasks (segmentation, detection).
Use Case: A researcher needs to write a survey paper on deep learning for CT lung nodule detection. This Skill can be used to gather relevant papers, structure the review, and draft sections on datasets, methods, and clinical applications.

Quick Start

Use the medical-imaging-review skill to start writing a literature review on deep learning for medical image segmentation.

Frequently Asked Questions about medical-imaging-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I write a systematic literature review for medical imaging AI research?▼

Writing a systematic literature review for medical imaging AI research requires gathering papers from ArXiv and PubMed, then structuring the analysis. This Skill automates that process using a 7-phase workflow to collect sources and draft structured survey sections.

How do I structure a survey paper on deep learning for CT lung nodule detection?▼

Structuring a survey paper on deep learning for CT lung nodule detection requires domain-specific templates covering datasets, methods, and clinical applications. This Skill provides these templates and guides the drafting process for medical imaging tasks like detection and segmentation.

Can I use Zotero to manage references when generating a medical imaging AI survey?▼

Yes, you can use Zotero to manage references when generating a medical imaging AI survey. This Skill integrates directly with Zotero, alongside ArXiv and PubMed, to ensure broad literature collection and seamless reference management during the review process.

What is the best way to find deep learning papers on MRI segmentation for a systematic review?▼

The best way to find deep learning papers on MRI segmentation for a systematic review is searching multi-source databases. This Skill leverages ArXiv, PubMed, and Zotero to execute comprehensive literature collection across various medical imaging domains and tasks.

Does this literature review generation process cover ultrasound and pathology imaging tasks?▼

Yes, the literature review generation process covers ultrasound and pathology imaging tasks. It provides domain-specific templates and structured guidance for writing systematic reviews across CT, MRI, X-ray, ultrasound, and pathology imaging modalities.