ReviewJournal of the Society for Cardiovascular Angiography & Interventions2025
Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.
Review in Journal of the Society for Cardiovascular Angiography & Interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Introduction and validation of OSCAR-optimal stent choice algorithm.CVIR endovascular · 2026Article
- Utility of artificial intelligence in predicting clinical outcomes of angiographic procedures: a comprehensive scoping review.Journal of cardiovascular imaging · 2026Review
- Ten Commandments of Off-Pump Coronary Artery Bypass Surgery.Annals of thoracic surgery short reports · 2026Article
- Artificial Intelligence Powered Real-Time Coronary Stenosis Recognition and Quantification in Angiography.Journal of imaging informatics in medicine · 2026Article
- Postdilation Strategies Following Provisional Stenting of Left Main Coronary Bifurcations: Insights From Patient-Specific Computational Simulations.JACC. Advances · 2026Article
- Percutaneous Coronary Intervention and vascular access complications: A contemporary review.NPJ cardiovascular health · 2026Review
- Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study.BMC medical informatics and decision making · 2026Article
- Deep Learning and Cardiovascular Diseases: An Updated Narrative Review.Journal of clinical medicine · 2026Review
- Beyond CABG vs. PCI: Contemporary and Future Coronary Revascularisation from Historical Evolution to Artificial Intelligence, Robotics, and Hybrid Strategies.Journal of clinical medicine · 2026Article
- Development and validation of a machine learning predictive model for one-month post-revascularization angina in patients who had undergone PCI or CABG.Frontiers in cardiovascular medicine · 2026Article
- Artificial Intelligence in Drug-Coated Cardiovascular Devices: A Narrative Review.Reviews in cardiovascular medicine · 2025Review
- Reimagining chronic total occlusion management interventions: the role of artificial intelligence in imaging, planning, and procedural guidance.The international journal of cardiovascular imaging · 2025Review
- Bioinspired Coronary Stents: A Technological Perspective on Exosome-Mimetic Nanoengineering and Mini-Review of Existing Platforms.Reviews in cardiovascular medicine · 2025Review
- Radiation-Free Percutaneous Coronary Intervention: Myth or Reality?Journal of cardiovascular development and disease · 2025Review
- Artificial intelligence in coronary artery calcification scoring: Current progress and future directions.Global cardiology science & practice · 2025Review
- Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care.Biomedicines · 2025Review
- Revolutionizing Cardiovascular Interventions With Artificial Intelligence.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has profoundly influenced the field of cardiovascular interventions and coronary artery procedures in particular. AI has enhanced diagnostic accuracy in coronary artery disease through advanced invasive and noninvasive imaging modalities, facilitating more precise diagnosis and personalized interventional strategies. AI integration in coronary interventions has streamlined diagnostic and procedural workflows, improved procedural accuracy, increased clinician efficiency, and enhanced patient safety and outcomes. Despite its potential, AI still faces significant challenges, including concerns regarding algorithmic biases, lack of transparency in AI-driven decision making, and ethical challenges. This review explores the latest advancements of AI applications in coronary artery interventions, focusing on preprocedural planning and real-time procedural guidance. It also addresses the major limitations and obstacles that hinder the widespread clinical adoption of AI technologies in this field.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.