Real-world experience 3: AI in mammography as a second reader
Ritse Maarten Mann, Nijmegen / Netherlands
- To learn about integrating AI technologies in mammography workflows.
- To appreciate the benefits and challenges of AI in mammography, including improvements in diagnostic accuracy and workflow efficiency.
- To understand AI's impact on patient outcomes and clinical decision-making, based on case studies and practical examples.