Lorenzo Arboit
Papers
1
Total Citations
5
H-Index
1
About
Lorenzo Arboit is a pioneering researcher in gynecologic oncology, with a focus on enhancing surgical precision and safety through artificial intelligence. His work centers on sentinel lymph node dissection for endometrial and cervical cancers, where he has introduced innovative methods to standardize surgical quality. Arboit’s most cited paper, the “Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study)” (2025), has already garnered 5 citations, reflecting its immediate impact. This study demonstrates how AI can evaluate Critical Views of Safety criteria, improving lymph node detection and reducing surgical risks. By integrating machine learning into video-based assessments, Arboit advances reproducible, high-quality care in complex oncologic procedures. His contributions bridge surgery and technology, offering a scalable framework for training and real-time guidance. Arboit’s work is vital for researchers and clinicians seeking to elevate patient outcomes through data-driven surgical innovation.
Research Focus
Key Achievements
Top Papers
- 1