Welcome!

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Welcome to the central knowledge repository for the international Community for Artificial Intelligence in Multiple Sclerosis.

This wiki brings together researchers, clinicians, data scientists, software engineers, and patient advocates worldwide to accelerate AI-driven advancements in MS research, diagnosis, treatment, and care.

What to Expect

This wiki serves as an open-access, community-maintained knowledge hub. Here is what you will find inside:

  • Guides & Tutorials: Step-by-step walkthroughs
  • Domain Glossaries: Definitions on MS- and AI-related topics
  • Datasets & Benchmarks: Index of open-access MS datasets, tools, etc
  • State of the Art (SOTA) Summaries: High-level summaries of landmark papers at the intersection of AI and MS.
  • Best Practices & Ethics: Guidelines for data privacy, algorithmic bias reduction, and safe clinical translation

How to Contribute

We welcome contributions from everyone—whether you are writing code, explaining a clinical concept, or fixing typos!

1. Contribution Workflow

  1. Explore Existing Content: Check existing pages to see where your expertise fits best.
  2. Open an Issue / Pitch an Update: For major additions or structural updates, open a GitHub Issue first to discuss your idea with community maintainers.
  3. Fork & Branch: Create a feature branch off of main (e.g., feature/add-mri-segmentation-tutorial).
  4. Submit a Pull Request (PR): Fill out our PR template detailing your changes and link any relevant issues.

2. Ways You Can Help

  • ✍️ Write Content: Draft tutorials, summarize recent literature, or expand clinical/technical glossary terms.
  • 🔍 Review Content: Peer-review pending PRs for clinical accuracy or technical correctness.
  • 🌐 Localization & Accessibility: Help translate pages or improve accessibility for non-native readers.
  • 🛠️ Maintain Infrastructure: Improve search indexing, fix broken links, or refine wiki navigation.

Content Guidelines

To maintain quality and clarity across diverse disciplines: * Target Clear Communication: Remember our audience spans both clinical and technical backgrounds. Define complex terms or link to the internal Glossary. * Cite Sources: Always cite peer-reviewed research, public datasets, or official guidelines when introducing scientific facts. * Maintain Privacy: Never upload, commit, or link to patient data or proprietary/restricted clinical records.

Code of Conduct

We are committed to fostering a welcoming, inclusive, and collaborative environment. Please review our Code of Conduct prior to contributing.

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