Aug 2026· Journal of Robotic Surgery· Vol 20· 0 citations· 40 references
Medicine
TL;DR
Overall, learning curve research in robot-assisted urological surgery has progressed toward multidimensional assessment of clinical performance, but current frameworks remain strongly weighted toward perioperative safety.
A bibliometric review delineates the research trajectory and hotspots in RASP and offers a reference for future study planning, resource allocation, and evidence-based practice.
Gen Fan, Ding-Song Luo, Shan Yin· Journal of Robotic Surgery· 0 citations
Background Robotic-assisted minimally invasive esophagectomy (RAMIE) is a significant evolution in esophageal cancer surgery, providing improved visualization, dexterity and operative precision. However, RAMIE is technically demanding and has a steep learning curve. The goal of this systematic review was to assess the...
Konstantinos Kossenas, A. Mylonakis, D. Avgerinos et al.· Frontiers in Oncology· 0 citations
Learning curves in robotic right hemicolectomy (RRH) are assessed using cumulative sum (CUSUM) analysis. CUSUM was originally designed for industrial processes using external benchmarks. Medical applications rely on internal benchmarks, typically the cohort-specific median. This introduces circularity, obscures early d...
A. Wilk, Anna-Marie Wilk, H. Altın et al.· Journal of Robotic Surgery· 0 citations
The field has moved from device control and kinematic engineering toward performance measurement and multimodal surgical analytics, and ‘objective’ describes how a signal is recorded, not freedom from confounding by anatomy, case complexity, surgical strategy, trainee involvement, center, or platform.
Yi Liu, Xiang-Jun Zhang· Journal of Robotic Surgery· 0 citations
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