Chiara Carlini
Papers
1
Total Citations
13
H-Index
1
About
Chiara Carlini is a researcher at the intersection of computer vision and surgical robotics, with a primary focus on deep learning for medical image analysis. Her most cited work, "NephCNN: A deep-learning framework for vessel segmentation in nephrectomy laparoscopic videos" (2021, 13 citations), addresses a critical challenge in robot-assisted partial nephrectomy (RAPN)—the safe identification of blood vessels amidst a reduced field of view, tool occlusions, and limited maneuverability. By developing a specialized convolutional neural network for real-time vessel segmentation, Carlini’s framework helps mitigate the risk of accidental vessel resection, a major cause of surgical complications. This contribution is particularly impactful as RAPN becomes the standard treatment for renal cell carcinoma. Her work exemplifies how AI can enhance intraoperative decision-making, improving patient safety in minimally invasive surgery. Carlini’s research not only advances surgical computer vision but also provides a practical tool for urologists, demonstrating the translational potential of deep learning in high-stakes clinical environments.
Research Focus
Key Achievements
Top Papers
- 1