Artificial Intelligence in Intracoronary Imaging

This paper investigates present uses and future potential of artificial intelligence (AI) applied to intracoronary imaging technologies. Advances in data analytics and digitized medical imaging have enabled clinical application of AI to improve patient outcomes and reduce costs through better diagnosis and enhanced workflow. Applications of AI to IVUS and IVOCT have produced improvements in image segmentation, plaque analysis, and stent...