Revolutionizing Cardiovascular Interventions With Artificial Intelligence

Affiliations

¹ Center for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, Florida.
² Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts.

Editorial

Yiannis S Chatzizisis et al. J Soc Cardiovasc Angiogr Interv. 2025.

. 2025 Mar 18;4(3Part B):102580.

doi: 10.1016/j.jscai.2025.102580. eCollection 2025 Mar.

¹ Center for Digital Cardiovascular Innovations, Division of Cardiovascular Medicine, Miller School of Medicine, University of Miami, Miami, Florida.
² Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts.

No abstract available

Keywords: artificial intelligence; cardiovascular interventions; digital twins; education; preprocedural planning.

Figures

1. Alsharqi M., Edelman E.R. AI in cardiovascular imaging and interventional cardiology: emerging trends and clinical implications. J Soc Cardiovasc Angiogr Interv. 2025;4(3B)
1. Petraco R., Bahl R., Almeida G., et al. Can artificial intelligence capture and quantify expertise and clinical judgement? Implications for intracoronary imaging guidance for percutaneous coronary interventions. J Soc Cardiovasc Angiogr Interv. 2025;4(3B)
1. Samant S., Bakhos J.J., Wu W., et al. Artificial intelligence, computational simulations, and extended reality in cardiovascular interventions. JACC Cardiovasc Interv. 2023;16(20):2479–2497. doi: 10.1016/j.jcin.2023.07.022. - DOI - PubMed
1. Shin D., Sami Z., Cannata M., et al. Artificial intelligence in intravascular imaging for percutaneous coronary interventions: a new era of precision. J Soc Cardiovasc Angiogr Interv. 2025;4(3B)
1. Young P., Nolen D., Milner T.E., et al. Histology-grounded automated plaque subtype segmentation in IVOCT. J Soc Cardiovasc Angiogr Interv. 2025;4(3B)