Refresher Courses: Collaborative Learning - Jointly organised by the ECR Scientific Subcommittees Imaging Informatics and Artificial Intelligence and Radiographers

RC 800b - The real-world impact of AI on clinical radiology and radiography

March 5, 10:00 - 11:00 CET

5 min
Chairpersons' introduction
15 min
How has evidence-based AI changed the radiographer's work?
  1. To learn how AI can be applied to streamline clinical workflows, such as CT, and reduce turnaround times.
  2. To appreciate the role of AI in balancing clinical workloads and supporting decision-making in high-demand imaging departments.
  3. To understand the practical and ethical considerations involved in integrating AI into workflow management systems.
15 min
The prime-time AI applications in diagnostic radiology and workflow
  1. To review the AI applications in radiology that show real-world evidence assisting with diagnosis and decision-making.
  2. To learn about how AI can tangibly improve the workflow for radiologists.
  3. To provide a roadmap for the evidence-based integration and post-market surveillance of AI applications.
15 min
How can AI facilitate and enhance a patient-focused radiologist-radiographer collaboration?
  1. To outline the major challenges of AI implementation with regard to human-AI interaction.
  2. To discuss ways to engage in patient-centred practices when using AI in clinical practice.
  3. To underline the importance of Radiologist-Radiographer-Patient collaborations within clinical settings for providing patient-centred care.
10 min
Panel discussion: The radiologist and radiographer as enablers for AI integration, patient safety and real-world impact