Intracoronary image interpretation: from operator to artificial intelligence

Summary

Explore the evolving landscape of intracoronary image interpretation from operator-dependent assessments to artificial intelligence (AI) assistance. This session features variability analysis between novices and experts in OCT interpretation, AI-driven plaque segmentation and quantification, comparisons of stent expansion assessments by core labs and AI software, and insights into operator learning curves from the ILUMIEN-V AERO study, emphasizing the potential and challenges of AI integration in interventional cardiology.

Presentations available when logged in:

  • Variation in OCT analysis by novice and expert observers gives insight for assisted interpretation
  • Deep learning for segmentation and quantification of atherosclerotic plaques in OCT
  • Stent expansion assessed by the core laboratory vs. an artificial intelligence software
  • ILUMIEN-V AERO – Early insights from OCT core laboratory on operator learning curve
  • Geographic miss assessed by the core laboratory vs. an artificial intelligence software