AI Theatre Session: Keynote
AI-SC 12 - Beyond detection: multimodal AI and predictive analytics in radiology
Lectures
1
Chairperson's introduction
05:00Dennis M Hedderich, Munich / DE
2
Defining multimodal AI and its future impact on radiology
20:00Haris Shuaib, London / UK
3
A roadmap for multimodal AI in clinical and personalised care
20:00Benjamin D Simon, Oxford / UK
4
Q&A: Is the radiology future multimodal and predictive?
15:00Q&A: Is the radiology future multimodal and predictive?
5 min
Chairperson's introduction
Dennis M Hedderich, Munich / Germany
20 min
Defining multimodal AI and its future impact on radiology
Haris Shuaib, London / United Kingdom
- To understand the concept of multimodal AI and how it integrates imaging, clinical, genomic, and digital health data.
- To review the benefits of real-world implementations and emerging applications in radiology.
- To suggest ethical, legal, and regulatory frameworks guiding safe and trustworthy deployment of multimodal AI in healthcare.
20 min
A roadmap for multimodal AI in clinical and personalised care
Benjamin D Simon, Oxford / United Kingdom
- To explore the challenges and enablers of translating multimodal AI into daily radiology practice, including interoperability and data standards.
- To discuss the use of stratification and prognostic models that predict disease trajectory and treatment response.
- To envision future directions where multimodal AI supports personalised care and reshapes the role of radiologists.
15 min
Q&A: Is the radiology future multimodal and predictive?