Artificial intelligence (AI) is revolutionising interventional cardiology and radiology by enhancing image interpretation, improving procedural efficiency, and reducing radiation exposure. AI-powered image analysis, using deep learning algorithms, enables automated detection of coronary lesions, plaque morphology assessment, and real-time procedural guidance, increasing diagnostic accuracy and consistency. In robotic-assisted interventions, AI-driven systems enhance precision, automate catheter navigation, and reduce operator fatigue, leading to safer and more standardised procedures. Additionally, AI-based radiation dose reduction technologies dynamically adjust imaging parameters, optimising fluoroscopy while minimising exposure for both patients and healthcare professionals. These advancements are transforming interventional workflows, reducing procedural variability, and expanding access to high-quality care. By integrating AI with extended reality (XR) technologies, clinicians can train in immersive environments, improving procedural skills without radiation risk. Looking ahead, AI’s role will continue to evolve, with real-time decision support, predictive analytics, and remote robotic interventions poised to further enhance procedural safety and efficiency. As AI-driven innovations become more integrated into clinical practice, they will reshape the future of interventional cardiology and radiology, fostering a new era of precision medicine and improved patient outcomes.