Beyond one-size-fits-all: AI-powered Personalization in Breast Imaging Pathways
Tailoring breast cancer screening and diagnostics with real-world AI applications

As breast cancer care evolves toward precision medicine, artificial intelligence (AI) is emerging as a key enabler of personalized screening and diagnostics. This symposium explores how AI is transforming breast imaging workflows – from risk stratification to multimodal diagnostics – by adapting to individual patient profiles and clinical needs.

Two experienced radiologists will share real-world insights from hospital-based and outpatient settings, highlighting how AI tools such as decision support systems and triage algorithms are being integrated into daily practice. The session will also address ethical and regulatory considerations, including patient communication and data protection, and discuss how AI can support high-risk populations and tailored care pathways.

Join us to discover how AI is moving breast imaging beyond the one-size-fits-all approach – toward smarter, more responsive, and patient-centered diagnostics.

Learning objectives:

• Understand how AI technologies can support personalized breast cancer screening and diagnostics across different clinical settings.
• Evaluate the practical integration of AI tools into multimodal breast imaging workflows.
• Discuss ethical, communicative, and organizational aspects of implementing AI-driven personalization in breast care, with a focus on patient-centered decision-making.