The Royal Surrey NHS Foundation Trust publishes a report to describe the characteristics of a collection framework for radiological images for use when training and validating AI tools. This includes not only the collection of images and clinical data, but the ethics and information governance processes to consider ensuring the data is collected safely, and the infrastructure and agreements required to allow for the sharing of data.

The document is intended to provide a comprehensive outline of the purpose, operation, methods, policies and governance of collecting medical images for tuning, training, testing and/or evaluating AI products. Detailed instructions are given on the development of clinical image collection frameworks, enabling safe, automated and ongoing collection of clinical data (patient, diagnosis, outcomes) from multiple radiology sites, with a guarantee of data protection. The report is conceived as a good practice guide for end users (e.g. clinical database managers, screening data managers, researchers) involved in the management of clinical and image data, which could then be used for related AI applications.

 

Source: https://arxiv.org/abs/2508.03723