Bifurcation Cases With OCT and Coronary CT-OCTOBER and P4 Trials-Computational Models in Bifurcation PCI

Video Transcription

Video Summary

The presentation by Professor Ioannis Tsitsis, a cardiology expert, highlighted the integration of computational models and AI in enhancing percutaneous coronary interventions (PCI) for bifurcation lesions. Tsitsis emphasized the potential of AI in optimizing procedure planning by providing real-time anatomical and physiological insights, reducing adverse outcomes such as high event rates post-PCI, especially in complex cases like left main lesions and patients with diabetes. The digital platform they developed can create digital twins of heart arteries, facilitating procedure simulation and precise stent placements before actual surgical interventions. This approach can democratize expertise, improve clinical outcomes, enhance cath lab efficiency, and significantly benefit patient education and device regulatory processes through virtual trials. Tsitsis also addressed the necessity for interdisciplinary collaboration, particularly with radiologists, to leverage advancements like CT imaging to optimize intervention strategies. This innovative integration aims for consistency, reduced variability, and fostering a highly informed procedural approach.

Asset Subtitle

Yiannis S. Chatzizisis, MD, PhD, FSCAI

Keywords

AI in cardiology

percutaneous coronary interventions

digital twins

bifurcation lesions

interdisciplinary collaboration

procedure simulation