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
Lectures
1
Chairpersons' introduction
05:00Sotirios Bisdas, London / UK, Claudia Sa Dos Reis, Lausanne / CH
2
How has evidence-based AI changed the radiographer's work?
15:00Svea Deppe Moerup, Middelfart / DK
3
The prime-time AI applications in diagnostic radiology and workflow
15:00Matthias Stefan May, Erlangen / DE
4
How can AI facilitate and enhance a patient-focused radiologist-radiographer collaboration?
15:00Nikolaos Stogiannos, Corfu / GR
5
Panel discussion: The radiologist and radiographer as enablers for AI integration, patient safety and real-world impact
10:00Panel discussion: The radiologist and radiographer as enablers for AI integration, patient safety and real-world impact
5 min
Chairpersons' introduction
Sotirios Bisdas, London / United Kingdom
Claudia Sa Dos Reis, Lausanne / Switzerland
Claudia Sa Dos Reis, Lausanne / Switzerland
15 min
How has evidence-based AI changed the radiographer's work?
Svea Deppe Moerup, Middelfart / Denmark
- To learn how AI can be applied to streamline clinical workflows, such as CT, and reduce turnaround times.
- To appreciate the role of AI in balancing clinical workloads and supporting decision-making in high-demand imaging departments.
- 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
Matthias Stefan May, Erlangen / Germany
- To review the AI applications in radiology that show real-world evidence assisting with diagnosis and decision-making.
- To learn about how AI can tangibly improve the workflow for radiologists.
- 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?
Nikolaos Stogiannos, Corfu / Greece
- To outline the major challenges of AI implementation with regard to human-AI interaction.
- To discuss ways to engage in patient-centred practices when using AI in clinical practice.
- 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