AI Theatre Session: Keynote

AI-SC 12 - Beyond detection: multimodal AI and predictive analytics in radiology

March 6, 08:30 - 09:30 CET

5 min
Chairperson's introduction
20 min
Defining multimodal AI and its future impact on radiology
  1. To understand the concept of multimodal AI and how it integrates imaging, clinical, genomic, and digital health data.
  2. To review the benefits of real-world implementations and emerging applications in radiology.
  3. 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
  1. To explore the challenges and enablers of translating multimodal AI into daily radiology practice, including interoperability and data standards.
  2. To discuss the use of stratification and prognostic models that predict disease trajectory and treatment response.
  3. 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?