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Updated: Sep 18, 2025

Author Spotlight: Advancements in Intracardiac Echocardiography for Atrial Anatomy Assessment

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Artificial intelligence-driven techniques for interventional cardiology: A current appraisal.

Debabrata Dash¹, Umanshi Dash², Batool Abu-Dakka³

¹Department of Cardiology, Aster Hospital, Al Mankhool, Kuwait Road, Dubai, United Arab Emirates.

Cardiovascular Revascularization Medicine : Including Molecular Interventions

|June 24, 2025

Summary

This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing interventional cardiology (IC) by enhancing diagnostic accuracy and treatment planning. Recent AI advancements are integrating cardiac imaging and data for improved patient care.

Keywords:

Artificial intelligence Augmented and/or virtual realities Interventional cardiology

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Area of Science:

Cardiology
Artificial Intelligence
Medical Technology

Background:

Artificial intelligence (AI) simulates human intelligence in computer systems.
Recent breakthroughs in computational tools have accelerated AI development.
AI's impact on clinical practice, especially in interventional cardiology (IC), is significant.

Purpose of the Study:

To review the impact of AI on clinical practice in interventional cardiology.
To highlight recent developments and applications of AI in IC.
To categorize AI applications in IC into virtual and physical domains.

Main Methods:

Review of recent studies on AI applications in interventional cardiology.
Analysis of AI integration with various cardiac imaging modalities.
Examination of AI in decision support systems and automated medical systems.

Main Results:

AI enables automated interpretation and analysis of diverse cardiac imaging data (ECG, echocardiography, angiography, MRI, CT).
AI facilitates robotic-assisted percutaneous coronary intervention (PCI) data analysis.
AI applications are categorized into virtual (imaging, VR/AR) and physical (robotics) domains.

Conclusions:

AI significantly impacts interventional cardiology practice.
AI integration enhances data analysis and decision support in IC.
Future AI developments promise further advancements in patient care and procedural efficiency.