Artificial Intelligence in Intravascular Imaging for Percutaneous Coronary Interventions: A New Era of Precision

Journal of the Society for Cardiovascular Angiography & Interventions Pub Date : 2025-03-01 DOI:10.1016/j.jscai.2024.102506

Doosup Shin MD , Zainab Sami BA , Matthew Cannata BS , Yasemin Ciftcikal BA , Emma Caron BS , Susan V. Thomas MPH , Craig R. Porter BSN , Anna Tsioulias , Misha Gujja , Koshiro Sakai MD, PhD , Jeffrey W. Moses MD , Fernando A. Sosa MS, MBA , Richard Shlofmitz MD , Allen Jeremias MD, MSc , Ziad A. Ali MD, DPhil , Evan Shlofmitz DO

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Abstract

Intravascular imaging (IVI), including intravascular ultrasound and optical coherence tomography, play a crucial role in guiding percutaneous coronary intervention by providing detailed visualization of coronary anatomy and plaque morphology. Despite substantial evidence supporting IVI use, its adoption in clinical practice remains limited for multiple reasons including limited operator experience and a lack of confidence in image interpretation. The emergence of artificial intelligence presents a promising solution to these challenges by enhancing procedural efficiency and precision, thereby potentially increasing both IVI adoption and procedural optimization. This manuscript discusses the current applications, challenges, and future directions of artificial intelligence in IVI for percutaneous coronary intervention.

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