Corentin Dancette
Papers
1
Total Citations
30
H-Index
1
About
Corentin Dancette is a leading researcher at the intersection of artificial intelligence and interventional radiology, focusing on how foundation models and multimodal data can revolutionize patient care. His most-cited work, "Artificial intelligence in interventional radiology: Current concepts and future trends" (2024, 30 citations), outlines transformative contributions: developing patient selection strategies and outcome prediction models through advanced AI, integrating AI into robotics to enable fully automated interventions, and leveraging data augmentation to significantly improve clinical decision-making. Dancette’s research addresses critical challenges in precision medicine, bridging the gap between computational methods and real-world procedural workflows. His notable achievements include pioneering frameworks that unify imaging, clinical, and robotic data, setting the stage for smarter, safer, and more efficient interventional radiology. With a growing citation impact, Dancette is shaping the future of minimally invasive treatments, making his work essential reading for students and researchers exploring AI-driven healthcare innovation.
Research Focus
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Top Papers
- 1