Stefano Fusco

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About

Stefano Fusco is a leading voice at the intersection of artificial intelligence and interventional radiology, with his most-cited work—the 2024 "state of the art" review on AI in IR—garnering 41 citations and establishing a foundational roadmap for the field. His research focuses on how machine learning and computer vision can transform decision-making, image guidance, and procedural outcomes across fluoroscopy, ultrasound, CT, and MRI. Fusco’s major contributions include synthesizing the potential of AI to enhance real-time imaging, predict complications, and automate repetitive tasks, thereby improving both precision and safety in minimally invasive procedures. His work has been instrumental in bridging the gap between cutting-edge computational methods and clinical practice, offering a clear vision for how AI can support radiologists rather than replace them. Beyond his review, Fusco is recognized for advancing specific AI-driven tools in interventional settings, and his insights continue to shape conversations around regulatory, ethical, and technical challenges. With a growing citation footprint and a knack for translating complex technologies into actionable clinical insights, Stefano Fusco is a pivotal figure guiding the next generation of smart, data-driven interventional radiology.