Resources

Useful starting points for rigorous research

A concise collection of external projects, open data resources, and practice areas relevant to medical AI and health data science.

Curated recommendations

Projects and open resources

These links lead to their respective publishers or maintainers. Review each resource’s documentation, licensing, and access conditions before use.

A community project cataloguing more than 1,000 open-access medical imaging datasets for foundation-model research.

The NCI-supported public archive provides de-identified cancer imaging collections and related research data.

A community-maintained directory of medical datasets spanning imaging, electronic health records, and other modalities.

A collaborative group for seminars, shared studies, and discussion of generative AI in medicine and life sciences.

An external Chinese-language introduction to a visual workflow for slide classification, training, and heatmap analysis.

An external site presenting tools and technical work from Luoxiaoluo Tech (Beijing) Co., Ltd.

Research practice

The Society’s resource work is organised around governance, practical learning, and reproducible collaboration.

Data-use agreements, privacy impact assessment, algorithm transparency, and model documentation are core areas of practice.

Study design, data governance, ML operations, and deployment are recurring themes for workshops and practical clinics.

Templates, containers, and continuous-integration patterns can help multi-site work remain inspectable and repeatable.

Publishing

Submission policies, article preparation guidance, and publication information are maintained on the official Wiley journal site.

Browse Med Research and follow its official most-recent feed for newly published work.