In preparation for the upcoming testing of the ASSESS DHT assessment framework for digital health technologies (DHT), the project is looking to onboard a new use case related to Artificial Intelligence in the radiology field.

The project already has access to use cases such as telemedicine, digital health application platforms, and AI-driven algorithms in support of remote management of patients with chronic diseases.

The addition of a radiology use cases aims to expand the testing range of the framework and ensure it is fit for multiple types of DHT. Radiology is one of the most advanced fields in AI adoption within healthcare. AI-driven tools in radiology are already being used for image analysis, anomaly detection, and decision support, making it a prime example for testing the ASSESS DHT framework against real-world challenges.

Radiology AI systems generate vast amounts of data and require rigorous validation to ensure diagnostic accuracy, reliability, and safety. This aligns well with the project’s focus on developing robust assessment methodologies, particularly for lifecycle evidence generation, regulatory compliance (AI Act, MDR), and health economic evaluation. Moreover, radiology AI often interacts with existing clinical workflows, making it an excellent test case for assessing interoperability, usability, and human factors. By studying AI in radiology, the project can refine its framework to better address the complexities of AI-driven healthcare technologies across different domains.

If you are the owner of a DHT in the field of radiology, consider applying to the call, which is open in the period 27 March – 27 May 2025. The benefits of being selected include:

• Becoming a pioneer tester of the ASSESS DHT framework, which aims to be used as the harmonised approach in Europe for assessing DHT
• Interacting with the HTA agencies in the project and benefitting from their know-how and advice
• Learning about the HTA process and the evidence required for a DHT to be approved by an HTA body
• Receiving 86,000 € in funding

Information about the call and the application process is available here.