Salvatore Gitto

University of Milan

Papers

1

Total Citations

41

H-Index

1

About

Salvatore Gitto is a leading researcher at the intersection of artificial intelligence and interventional radiology, with a focused expertise in how AI can revolutionize image-guided procedures. His most-cited work, the 2024 state-of-the-art review on AI in interventional radiology (41 citations), provides a comprehensive framework for understanding AI's transformative role—from enhancing decision-making and outcome prediction to improving imaging modalities like fluoroscopy, ultrasound, CT, and MRI. Gitto’s major contribution lies in systematically mapping AI’s potential to support clinical workflows and augment diagnostic precision, offering a roadmap for future innovation. His research has quickly gained traction, reflecting the urgent relevance of his insights in a rapidly evolving field. By bridging cutting-edge computational methods with practical radiological applications, Gitto is helping to shape the next generation of minimally invasive, data-driven patient care. His work stands as a vital resource for clinicians and engineers alike, underscoring his role as a key voice in the digital transformation of interventional radiology.

Research Focus

Key Achievements

1
H-Index
1
Papers
41
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Artificial intelligence in interventional radiology: state of the art
41 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Milan

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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