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Published on: February 7, 2025
Emerging robotic platforms in gynecologic surgery: a systematic review.
Matteo Bruno1, Davide Arrigo2,3, Marco D'Indinosante4
1Dipartimento Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario Agostino Gemelli, IRCCS, via Largo Francesco Vito 1, Rome, Italy.
Emerging robotic platforms show technical feasibility in gynecologic surgery, but evidence is limited. More rigorous studies are needed to compare new robotic systems for procedures like hysterectomy.
Area of Science:
- Minimally Invasive Surgery
- Surgical Robotics
- Gynecologic Oncology
Background:
- Robotic innovation in gynecologic surgery is rapidly evolving beyond traditional multiport systems.
- New platforms include single-port, modular multi-arm, transvaginal, AI-enabled, and teleoperated systems.
- Existing evidence is fragmented, hindering quantitative synthesis and comparative analysis.
Purpose of the Study:
- To systematically review emerging robotic platforms in gynecologic surgery.
- To evaluate procedure types, perioperative outcomes, costs, and learning curves associated with these platforms.
- To identify gaps in current evidence and guide future research directions.
Main Methods:
- Systematic review of clinical studies on emerging robotic platforms in gynecologic surgery.
- Searches conducted in PubMed, Scopus, and Web of Science (April 2026).
- Inclusion of 92 studies covering 13 platforms, with data extraction and risk of bias assessment.
Main Results:
- Evidence is most robust for da Vinci SP and HUGO RAS, with emerging data for Senhance, Versius, hinotori, and KANGDUO.
- Hysterectomy and sacrocolpopexy were the most common procedures.
- Perioperative outcomes and short-term safety appear favorable, but evidence is observational and methodologically limited.
Conclusions:
- Emerging robotic platforms demonstrate technical feasibility and acceptable short-term safety in gynecologic procedures.
- Current evidence is heterogeneous, observational, and requires more rigorous prospective studies.
- Standardized economic analyses, longer follow-up, and learning-curve evaluations are essential for comparative conclusions.
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