Papers
7
Total Citations
42
H-Index
4
About
Ludovica Baldari is a pioneering researcher at the intersection of robotic surgery, colorectal oncology, and surgical data privacy. Her work centers on advancing minimally invasive techniques, with a major contribution being the development of a deep learning classifier that automatically detects out-of-body scenes in endoscopic videos—a critical innovation for preserving patient privacy in surgical video analysis (17 citations). She has also been instrumental in evaluating the safety and learning curves of novel handheld steerable laparoscopic instruments, surveying EAES surgeons to guide safe implementation (6 citations). In colorectal surgery, Baldari has helped standardize approaches to right colon lymphadenectomy through the SICE network’s CoDIG 2 study (6 citations) and has authored step-by-step guides for complete mesocolic excision using the Versius Surgical System (4 citations). Her systematic review on the learning curve for lateral lymph node dissection in rectal cancer (2 citations) provides essential benchmarks for surgical training. Additionally, her work on hybrid robotic systems and new robotic platforms (1 citation) addresses the limitations of standard laparoscopy and the high costs of existing systems. With a growing citation impact and a focus on both technological innovation and clinical safety, Baldari is shaping the future of robotic-assisted surgery.
Research Focus
Key Achievements
Top Papers
- 1
- 2Hybrid robotic systems6 citations · 2024
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- 7New Robotic Platforms1 citations · 2023