For centuries, radiologists have composed the radiology report from their subjective assessment of a patient's image data. While many argue that some literary freedoms should be kept and radiologists should be allowed to express themselves through their texts, others argue that a more formal and structured approach should be used. This session explores how AI could help to mediate and build bridges between these opposing views and what the current status is regarding AI in radiology communication.
Chairperson's introduction
Jacob Johannes Visser, Rotterdam / Netherlands
From speech to text: how AI supports reporting
Charles Edward Kahn, Philadelphia / United States
From text to understanding: how AI makes reports understandable
Lisa C. Adams, Munich / Germany
From understanding to emotion: how AI assists in patient communication
Judy Birch, Poole / United Kingdom
Panel discussion: Will AI add additional value to radiological reports?