Peter Mildenberger, Mainz / Germany Tessa Cook, Philadelphia / United States
6 min
AI support for orthopaedic cases
Amanda Isaac, London / United Kingdom
To learn how AI is being applied across MSK and orthopaedic disciplines, from imaging triage and diagnostic support to surgical planning, rehabilitation monitoring, and outcome prediction. Attendees will gain a practical understanding of how these tools can enhance efficiency, consistency, and precision in patient care.
To appreciate the opportunities and challenges of embedding AI within clinical workflows. Speakers will highlight the importance of data quality, clinician engagement, and system integration, as well as real-world barriers such as resource limitations, trust, and workflow adaptation. The session will emphasise the shared responsibility of radiologists, orthopaedic surgeons, and allied health professionals in ensuring safe, transparent, and clinically meaningful use of AI.
To understand the ethical, regulatory, and operational frameworks guiding AI deployment in healthcare. Participants will examine how multidisciplinary collaboration supports validation, governance, and generalisability, ensuring that AI solutions improve, not complicate, clinical practice.
6 min
Mammography reporting with AI support
Benoît Rizk, Villars-Sur-Glane / Switzerland
To learn the different use-cases of AI in mammography, including acquisition, cancer screening, breast density, quality control, triage, breast arterial calcifications, prognostication.
To appreciate how human readers and AI can interact in breast imaging.
To understand the strengths and weaknesses of current AI support in mammography reading.
6 min
Prostate reporting with AI support
Felix Hahn, Mainz / Germany
To learn about the clinical background of qualitative and quantitative Evaluation by AI.
To appreciate the workflow benefits through AI support.
To understand critical factors for successful AI integration in clinical settings.
6 min
Lung reporting with AI support
Prerana Agarwal, Freiburg / Germany
To learn about the different areas where AI can support in lung reporting.
To appreciate the potential benefits and current limitations of AI in daily radiology practice.
To understand real-life challenges, opportunities, and future directions of AI-assisted lung reporting.
6 min
Neuro reporting with AI support
Alexander Rau, Freiburg Im Breisgau / Germany
To learn how artificial intelligence can be applied to acute stroke diagnostics (CTA-based LVO detection, and CTP-based core/penumbra quantification) and to chronic pathology (neurodegeneration pattern analysis).
To appreciate how artificial intelligence enables more efficient workflows, higher diagnostic consistency and value (standardization, reproducibility, triage), and ultimately better patient care, while knowing where human verification adds the most benefit.
To understand the potential and pitfalls of the exemplary artificial intelligence integration in neuroradiology, including necessary quality control (AIF, motion, thresholds), common false positives/negatives, dataset bias and generalizability, and potential for incorporation into structured reporting.
6 min
AI in oncology and haematology
Laurens Topff, Amsterdam / Netherlands
To learn how AI tools integrate into oncology imaging workflows for tumour detection and treatment response monitoring.
To appreciate the clinical value of AI-driven quantification and automated tumour tracking over time.
To understand key practical considerations when implementing AI solutions for oncologic imaging in real-world workflows.
6 min
Introduction to the Guided Tours
Marc Kämmerer, Bochum / Germany
To introduce the audience to the accompanying concept of the guided tours along the exhibition floor.
To describe the workflows which will be demonstrated by the vendors with existing software solutions.
To learn about the specifics how the different systems interconnect and why it is working.