Giulia Zantonelli

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About

Dr. Giulia Zantonelli is a pioneering researcher at the intersection of artificial intelligence and interventional radiology, where her work is reshaping how minimally invasive procedures are planned, guided, and evaluated. Her landmark 2024 review, "Artificial intelligence in interventional radiology: state of the art," has already garnered 41 citations, establishing her as a leading voice in this rapidly evolving field. Dr. Zantonelli’s major contributions include synthesizing the vast potential of AI for decision support and outcome prediction, while also detailing its transformative impact on imaging modalities such as fluoroscopy, ultrasound, CT, and MRI. She has been instrumental in identifying how machine learning algorithms can enhance real-time image guidance, reduce radiation exposure, and improve procedural accuracy. Beyond her review, her work consistently bridges the gap between computational innovation and clinical practice, offering a roadmap for integrating AI into everyday IR workflows. Dr. Zantonelli’s research is not only highly cited but also deeply practical, making her a key figure for students and clinicians seeking to understand the future of data-driven, precision interventional care.