PA - Artificial intelligence (AI) in radiology: meeting expectations and benefiting outcomes

1. To learn how AI is currently used in radiology to generate more effective outcomes.
2. To understand how AI will transform clinical practice for radiologists in the next few decades.
3. To identify best practices for bridging the gap between radiologist and patient due to technological developments.

1. To understand what benefits patients expect from introducing AI in radiology.
2. To demonstrate how patients can contribute to better outcomes through shared-decision making and active involvement in utilising AI.
3. To learn how patients can be encouraged to co-develop AI in radiology that is patient-centred and adapted to patient expectations.

1. To learn which measures need to be introduced from a patient’s point of view to uphold the highest data privacy standards.
2. To provide examples of how patient involvement in data collection and analysis contributes to an accelerated diagnosis and treatment.
3. To understand how patient education and communication in the field of AI is crucial in order to maintain the patient’s trust in clinical practice and research.

1. To understand which ethical implications accompany the introduction of AI in radiology.
2. To learn about practical solutions to uphold the highest ethical standards in radiology.
3. To share best practices of collaboration between patients and radiologists in developing guidelines and ethical standards.