Implementing AI in Radiation Oncology
AyniHealth Starter Package for implementing AI in your department
About this programme
A step-by-step guide grounded in AAPM, ESTRO, ASTRO, FARO and IAEA guidance. Treat an AI tool as a clinical technology that requires the same commissioning, QA, governance and accountability as any other radiotherapy system, with a human clinician always responsible for the decision. Disclaimer for the AyniHealth Catalyst implementation checklists The AyniHealth Catalyst implementation checklists provide a starting structure for planning and managing a service build. They are starter templates rather than finished local procedures, and each centre adapts them to its own protocols, equipment, workflows and regulator requirements before use. They do not contain clinical protocols, dose values, constraints, tolerances or regulatory content, and they are not clinical, legal or regulatory advice. Any reference to a published guideline or standard is included for orientation only and must be checked against the current version and against local law and licensing. Responsibility for the accuracy, currency and safety of everything loaded in, and for every task, sign-off and clinical decision, rests with the organisation and its appropriately qualified staff, under local governance.