Why the study?
To explore the role of AI in providing real-time decision support, enhancing precision, and improving patient outcomes during complex interventional cardiology procedures such as angioplasty and stent placement.
Does artificial intelligence improve procedural guidance and patient outcomes in interventional cardiology procedures?
Does artificial intelligence improve procedural guidance and patient outcomes in interventional cardiology procedures?
AI has the potential to revolutionize interventional cardiology by providing real-time procedural guidance and predictive analytics, though widespread adoption requires overcoming significant regulatory and validation hurdles.
Answers are grounded in this paper and cite their sources.
AI may enhance precision in interventional cardiology; leaves open need for prospective validation and regulatory frameworks before adoption.
Integrating artificial intelligence (AI) in interventional cardiology revolutionizes procedural guidance, particularly in high-stakes environments such as angioplasty and stent placement. In this narrative review we explore the role of AI in providing real-time decision support, enhancing precision, and improving patient outcomes during these complex procedures. AI algorithms can identify critical anatomical features, predict complications, and optimize stent positioning with unprecedented accuracy by analyzing data from imaging modalities like intravascular ultrasound and optical coherence tomography. The findings of this narrative review, from which we have reviewed more than 150 studies across multiple databases, highlight the necessity of continued research and development to utilize AI to its full potential in enhancing the efficacy and safety of interventional procedures. In this review we highlight AI's current advancements, challenges, and potential in real-time interventional cardiology procedures, emphasizing its transformative impact on clinical practice and patient care.
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Yannakula et al. (2025) studied this question.
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