20 May 2026
AI adoption in the cathlab of tomorrow - Risk prediction applications
A PCR–TCT partners in learning initiative
Moderators:
T. Modine, L. M. Desroche
Summary
This session delves into the adoption of artificial intelligence in the cath lab, focusing on clinically useful risk prediction models for coronary and structural interventions. It covers advanced AI-guided intravascular imaging, machine learning applications for adverse event prediction, and critical evaluation of model validation and clinical actionability.
Learning Objectives
- To understand what makes a risk prediction model clinically useful beyond headline AUC.
- To compare coronary and structural examples of AI-based prediction.
- To recognise red flags such as poor actionability, weak validation, or misleadingly high performance.
