BACKGROUND: The rapid adoption of robotics within minimally invasive surgical specialties has also seen an explosion of new technology including multi- and single port, natural orifice transluminal endoscopic surgery (NOTES), endoluminal and "on-dema...
OBJECTIVE: Robot-assisted minimally invasive coronary bypass surgery is one of the least invasive approaches that offers multivessel revascularization and accelerated recovery. We investigated the benefits of computed tomography angiography (CTA) gui...
Less invasive fixation techniques, such as intramedullary nailing (IMN) and minimally invasive percutaneous plate osteosynthesis (MIPPO), are now the preferred choices for treating tibia shaft fractures (TSFs). However, malreduction and radiation exp...
International journal of surgery (London, England)
Dec 1, 2023
Since the advent of conventional multiport laparoscopic surgery, the prosperity of minimally invasive surgery has been thriving on the advancement of endoscopic techniques. Cosmetic superiority, recovery benefits, and noninferior surgical outcomes we...
BACKGROUND: The da Vinci robot (DVR) is the most widely used robot in abdominal, urological, and gynecological surgery. Due to its minimally invasive approach, the DVR has demonstrated its effectiveness and improved safety in these different discipli...
BACKGROUND: With Surgomics, we aim for personalized prediction of the patient's surgical outcome using machine-learning (ML) on multimodal intraoperative data to extract surgomic features as surgical process characteristics. As high-quality annotatio...
Journal of gynecology obstetrics and human reproduction
Oct 5, 2023
Para-aortic staging is sometimes a standard feature in the management of pelvic cancers. Minimal invasive approach is recommended. Several routes are possible: extra-peritoneal or intraperitoneal depending on the expertise of the surgeon. We performe...
International journal of computer assisted radiology and surgery
Sep 28, 2023
PURPOSE: The purpose of this study was to improve surgical scene perception by addressing the challenge of reconstructing highly dynamic surgical scenes. We proposed a novel depth estimation network and a reconstruction framework that combines neural...
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