Industry Symposium by Siemens Healthineers
AI-IND 13 - Beyond one-size-fits-all: AI-powered Personalization in Breast Imaging Pathways
Lectures
1
Introduction
05:00Christine Faigle, Forchheim / DE
2
Implementing AI in Breast Diagnostics: Insights from Clinical Practice and Consulting: Teil 1
20:00Sophia Freya Ulrike Blum, Dresden / DE
3
The Human-AI Partnership: Making Personalized Breast Care a Daily Reality: Teil 2
20:00Maria Bernathova, Vienna / AT
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.
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.
5 min
Introduction
Christine Faigle, Forchheim / Germany
20 min
Implementing AI in Breast Diagnostics: Insights from Clinical Practice and Consulting: Teil 1
Sophia Freya Ulrike Blum, Dresden / Germany
- Real-world experience with AI-supported mammography interpretation.
- Workflow integration and clinical impact of Transpara AI.
- Perspectives on trust, efficiency, and patient-centered care in AI-driven breast imaging
20 min
The Human-AI Partnership: Making Personalized Breast Care a Daily Reality: Teil 2
Maria Bernathova, Vienna / Austria
- Identify practical applications of large language models (LLMs) in breast imaging workflows beyond image-based detection systems.
- Apply communication strategies using AI-generated content to improve patient understanding and shared decision-making.
- Recognize limitations of generative AI - including hallucinations and bias and explore responsible implementation approaches.
15 min
Q&A