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Minimally invasive surgery has rapidly evolved from the once novel laparoscopic approach to advanced robotic surgery. In the past few decades alone, robotic systems have gone from systems which were significantly limited to full-fledged platforms featuring 3D vision, articulated instruments, integrated ultrasound and fluorescence capabilities, and even the latest wireless connectivity, as is now standard. In this review, we aimed to summarize features of currently commercialized and utilized robotic surgical systems as well as currently unfolding platforms. The pros and cons of different robotic surgical systems were discussed. In addition, we discussed the future perspectives of robotic platforms used in general surgery. In this regard, we emphasized that the market, once dominated by Intuitive Surgical Inc., has become occupied by several worthy competitors with new technological giants such as Google. Eventually, the question facing hospital systems will not be of whether or not to invest in robotic surgery, but instead of how they will strike balance between price, features, and availability when choosing robots from the growing market to best equip their surgeons.
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http://dx.doi.org/10.52198/21.STI.38.SO1419 | DOI Listing |
Hernia
September 2025
Center for Perioperative Optimization, Department of Surgery, Copenhagen University Hospital - Herlev and Gentofte, Borgmester Ib Juuls Vej 1, Herlev, DK-2730, Denmark.
Purpose: Primary ventral hernia repair is a common elective procedure; however, mesh placement practices vary widely, and there is limited evidence to guide optimal placement. This international study examined surgeons' preferences and considerations regarding mesh placement in elective primary ventral hernia repair.
Methods: We conducted an international cross-sectional survey targeting surgeons experienced in primary ventral hernia repair.
Knee Surg Sports Traumatol Arthrosc
September 2025
Çankaya Hospital for Orthopedic Care, Ankara, Turkey.
Purpose: The aim of this study was to evaluate the impact of reduced spinopelvic mobility (SM) on knee flexion deformity (KFD) in patients undergoing total knee arthroplasty (TKA).
Methods: A retrospective analysis on 213 patients (271 knees) undergoing robotic-assisted primary TKA was conducted. Sagittal spinopelvic alignment (SSA) parameters-sacral slope (SS), pelvic incidence (PI), and pelvic tilt (PT)-were measured on lateral standing and sitting spinopelvic radiographs.
Adv Mater
September 2025
Departmant of Materials Science and Engineering, Seoul National University, Seoul, 08826, Republic of Korea.
Microrobots are expected to push the boundaries of robotics by enabling navigation in confined and cluttered environments due to their sub-centimeter scale. However, most microrobots perform best only in the specific conditions for which they are designed and require complete redesign and fabrication to adapt to new tasks and environments. Here, fully 3D-printed modular microrobots capable of performing a broad range of tasks across diverse environments are introduced.
View Article and Find Full Text PDFJTCVS Open
August 2025
Division of Thoracic Surgery, Department of Surgery, Tufts Medical Center, Boston, Mass.
Objective: Current evaluation of robotic surgeon proficiency relies on subjective assessment. The robotic platform collects highly granular kinematic data on surgeon activity, known as objective performance indicators (OPIs). We sought to compare surgeon proficiency during lobectomies across training levels using OPIs.
View Article and Find Full Text PDFFront Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.