Two ways to take part in meaningful work
Work together on a clearly defined healthcare, data, software, research, or education problem—or contribute an original project, tool, article, case study, or learning resource that can help others understand and build responsibly.
Start with what you want to accomplish
Collaboration and contribution share the same standards, but they begin differently.
Work together on a problem
Best for organizations, researchers, educators, product teams, vendors, or professionals who want clinical, analytical, data, software, or workflow perspective on a defined need.
Start a collaboration inquiry →Share useful original work
Best for people proposing a project, tool, article, tutorial, case study, dataset guide, or other educational material that can improve the platform’s knowledge base.
Propose a contribution →Problem areas where practical context matters
Healthcare & clinical workflow
Clinical informatics, imaging workflow, requirements discovery, operational measurement, quality context, and practical technology adoption.
Medical imaging & analytics
PET/CT, nuclear medicine, quantitative imaging, response tracking, imaging data, workflow improvement, and analytical interpretation.
Data & software
Analytics, prototypes, reproducible pipelines, decision-support concepts, software workflows, data quality, and applied engineering.
Research & education
Case-based learning, technical writing, responsible AI, applied research concepts, learning materials, and knowledge-sharing.
Product & vendor discussion
Healthcare technology, imaging systems, workflow tools, research products, and conversations that benefit from clinical and analytical perspective.
Responsible AI
Evaluation, transparency, privacy, human oversight, trustworthy deployment, and appropriate use of AI in real environments.
What the platform can review
Contributions do not need to be large. They do need to be useful, original, clearly sourced, and honest about limitations.
Projects & code
Reproducible projects, notebooks, examples, or engineering work built around a clearly described problem.
Tools & templates
Calculators, browser tools, reference templates, workflow aids, or reusable technical resources.
Articles & tutorials
Original explanations, practical guides, technical walkthroughs, or lessons that help users make informed decisions.
Case studies
Structured accounts of a problem, method, evidence, result, limitation, and lesson learned.
Healthcare & imaging insight
Educational material grounded in clinical workflow, medical imaging, informatics, analytics, or professional practice.
Resource recommendations
High-quality datasets, documentation, media, standards, or learning sources that improve the curated directories.
Useful, honest, and safe
Whether the goal is collaboration or contribution, the same baseline applies: define the problem, identify who is affected, explain the evidence, respect licensing and privacy, and be clear about what has not been validated.
- Explain the problem, audience, or intended use.
- Provide a working repository or source link when applicable.
- State data sources, licensing, and attribution requirements.
- Describe validation, assumptions, and important limitations.
- Do not include patient-identifying, confidential, or proprietary information.
- Do not present educational healthcare work as clinical advice or validated clinical performance.
One form for collaboration and contributions
Choose the type of conversation and briefly describe what you want to solve, build, share, or discuss. Please do not include patient-identifying or confidential information.