IHE Radiology White Paper – AI Interoperability in Imaging

This supplementary resource aims to document what artificial intelligence (AI) in medical imaging encompasses and provide a comprehensive map of interoperability needs, problems and challenges that must be addressed to achieve an ecosystem of interoperable products that support all the processes and tasks that make up AI in medical imaging. It describes an organising framework and roadmap for creating profiles to support the creation, lifecycle and use of AI datasets, models and applications.

Main sections:

· Landscape

· Use cases

· Entities

· Appendix A: AI background

· Appendix B: Architectural considerations

· Appendix C: Glossary/definitions

· Appendix D: Bibliography and further reading