ArticleFacts, views & vision in ObGyn2025
Unveiling the real benefits of robot-assisted surgery in gynaecology: from telesurgery to image-guided surgery and artificial intelligence.
Article in Facts, views & vision in ObGyn, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Emerging robotic platforms in gynecologic surgery: a systematic review.Journal of robotic surgery · 2026Pooled it
- The Hugo™ RAS system in gynecologic robotic surgery: a systematic review of current applications.Journal of robotic surgery · 2025Pooled it
- Technological evolution and research frontiers of robot-assisted ultrasound examination: a bibliometric exploration.Journal of robotic surgery · 2025Pooled it
- Robotically equipped 3D hybrid operating room in spine and trauma surgery - updated experience in 359 patients and 2080 screws.Journal of robotic surgery · 2026Article
- Computer-assisted and image-guided surgery for surgical lymph-nodal staging of gynecologic cancer in the era of digital and robotic surgery: a review of current evidence.EClinicalMedicine · 2026Review
- Artificial Intelligence, Deep Learning, and Computer Vision in Hysteroscopy: A Systematic Review.Diagnostics (Basel, Switzerland) · 2026Review
- Endometrial Cancer Recurrence Risk Following Robotic Hysterectomy.Current oncology (Toronto, Ont.) · 2026Article
- From Avoiding Empty Packets to Real-Time Diagnosis: The Value of Robotic Ultrasound-Guided Surgery in Sentinel Lymph Node Dissection.Annals of surgical oncology · 2026Article
- Robot-Assisted Hysterectomy for Endometrial Cancer-Own Observations.Journal of clinical medicine · 2026Article
- Robotic uterine transposition for fertility preservation in patients undergoing pelvic radiotherapy: a narrative review of surgical evolution, technical strategies, and emerging evidence.Journal of robotic surgery · 2026Review
- AI-enhanced robotic hands: a breakthrough in early tumour detection and removal.Journal of robotic surgery · 2026Review
- Short-term outcomes of robotic-assisted versus laparoscopic inguinal hernia repair: a single-center retrospective study in Taiwan.Frontiers in surgery · 2026Article
- Editorial: Advances in proctology and colorectal surgery, volume II.Frontiers in surgery · 2026Article
- Damage Control Surgery in Obstetrics and Gynecology: Abdomino-Pelvic Packing in Multimodal Hemorrhage Management.Journal of clinical medicine · 2025Review
- Septic Shock in Hematological Malignancies: Role of Artificial Intelligence in Predicting Outcomes.Current oncology (Toronto, Ont.) · 2025Review
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Several new robotic platforms are being commercialised, with different features in terms of types of consoles, numbers of arms, and targeting transabdominal or natural orifice approaches. The benefits of robotic surgery over laparoscopy have yet to be conclusively demonstrated in gynaecology, as several studies comparing perioperative and postoperative patient outcomes have reported no significant differences, leading to a lack of precise recommendations in surgical guidelines for both gynaecologic oncology and benign gynaecology. In addition, these outcomes must be balanced against the high costs of robotic surgery, in particular when considering building an infrastructure for safe telesurgery to democratise access to telementoring and remote interventions. Objectives: Drawing from the expertise gained at the IRCAD Research and Training Center in Strasbourg, France, this article aims to provide an overview of the unveiled benefits of robotic-assisted surgery in gynaecology, investigating the role of digital surgery integration. Methods: The objective of this narrative review is to provide an overview of the latest advancement in digital robotic-assisted surgery in gynaecology and illustrate the benefits of this approach related to the easiest integration with new technologies. To illustrate such evidence, PubMed, Google Scholar, and Scopus databases were searched. Main Outcome Measures: In the era of surgical innovation and digital surgery, the potential of robotic surgery becomes apparent through the capacity to integrate new technologies. Image-guided surgery techniques, including the analysis of preoperative and intraoperative images, 3D reconstructions and their use for virtual and augmented reality, and the availability of drop-in robotic ultrasound probes, can help to enhance the quality, efficacy and safety of surgical procedures. Results: The integration of artificial intelligence, particularly computer vision analysis of surgical workflows, is put forward to further reduce complications, enhance safety, and improve operating room efficiency. Additionally, new large language models can assist during procedures by providing patient history and aiding in decision-making. The education and training of young surgeons will undergo radical transformations with robotic surgery, with telementoring and shared procedures in the side-by-side double-console setup. Conclusions: Robotic systems play a fundamental role in the transition towards digital surgery, aiming to improve patient care through integration of such new technologies. What is New?: While the advantages of robotic surgery in terms of perioperative outcomes have yet to be demonstrated, the benefits of its easiest integration with new technologies are evident.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.