Endometriosis is a chronic condition affecting approximately 10% of women of reproductive age, leading to significant physical and emotional stress. Treatments include medical management and surgical interventions, with laparoscopic surgery being the gold standard for removing endometrial tissue. The advent of robotic-assisted laparoscopic surgery (RALS) has enabled more complex procedures to be performed minimally invasively, increasing its use in high-difficulty surgeries. Developed in the late 20th century, systems like the Da Vinci Surgical System have revolutionized surgery by enhancing precision, dexterity, and visualization. The latest models, including the Da Vinci Xi and SP, offer advanced features such as enhanced arm mobility, fluorescence imaging, and single-port capabilities. Comparative studies of RALS and conventional laparoscopy (LPS) for endometriosis show mixed results. While some studies indicate no significant differences in complications or recovery outcomes, others highlight longer operative times and hospital stays for RALS. Despite these drawbacks, RALS is not inferior to LPS overall. The clinical benefits of RALS include greater precision and accuracy, reduced surgeon fatigue, and a faster learning curve, facilitated by advanced ergonomic and control systems. However, the high costs and extensive infrastructure requirements limit the accessibility and availability of robotic surgery, particularly in smaller or rural hospitals. The absence of tactile feedback remains a challenge, though upcoming advancements aim to address this. Continued research and development are essential to make robotic surgery more cost-effective and broadly accessible, ensuring its benefits can reach a wider patient population. This abstract encapsulates the key aspects of robotic surgery's development, comparative studies with conventional methods, and its clinical benefits and limitations, highlighting the need for ongoing improvements and research.
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http://dx.doi.org/10.3390/life14080982 | DOI Listing |
NPJ Digit Med
January 2025
Department of Plastic and Reconstructive Surgery, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. It investigates objectives, experimental designs, model effectiveness, and future research directions. From 3632 records, 84 studies were included, with Artificial Neural Networks (38%) and Support Vector Machines (11%) being the most common ML models.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
The introduction of optical coherence tomography (OCT) in the 1990s revolutionized diagnostic ophthalmic imaging. Initially, OCT's role was primarily in the adult ambulatory ophthalmic clinics. Subsequent advances in handheld form factors, integration into surgical microscopes, and robotic assistance have expanded OCT's utility and impact outside of its initial environment in the adult outpatient ophthalmic clinic.
View Article and Find Full Text PDFBJU Int
January 2025
Division of Experimental Oncology, Department of Urology, Urological Research Institute (URI), IRCCS San Raffaele Scientific Institute, Milan, Italy.
Int J Surg
December 2024
Department of Advanced Robotic and Endoscopic Surgery, Fujita Health University, Aichi, Japan.
Background: Telesurgery has been made increasingly possible with the advancements in robotic surgical platforms and network connectivity. However, long-distance transnational complex robotic surgeries such as gastrectomy have yet to be attempted.
Methods: Multiple transnational network connections by Science Innovation Network (SINET), Japan Gigabit Network (JGN), and Arterial Research and Education Network in Asia-Pacific (ARENA-PAC) were established and tested by multiple surgeons in a dry box model.
BMC Surg
January 2025
Department of Obstetrics and Gynaecology, Krankenhaus Sachsenhausen, Frankfurt Am Main, Germany.
Background: Total laparoscopic hysterectomy (TLH) is nowadays the standard to treat benign and malignant disease occurring in the uterus, but the number of robotic-assisted surgeries is increasing worldwide. To facilitate the handling of sutures in a bi- and tri-dimensional plane, a new type of suture material has been developed, named barbed sutures, which are in use in different indications. In comparison to conventional suture materials, the barbs anchor the suture in the tissue, provide tissue approximation and prevent slippage without the need for knot tying.
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