BACKGROUND: Esophageal cancer surgery is technically highly demanding. During the past decade robot-assisted surgery has successfully been introduced in esophageal cancer treatment. Various techniques are being evaluated in different centers. In part...
Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The objective of our study was to compare clinical and perioperative outcomes of open partial nephrectomy (OPN) and robotic-assisted partial nephrectomy (RA...
BJOG : an international journal of obstetrics and gynaecology
Jul 17, 2022
The use of robotic-assisted keyhole surgery in gynaecology has expanded in recent years owing to technical advances. These include 3D viewing leading to improved depth perception, limitation of tremor, potential for greater precision and discriminati...
BACKGROUND: Pelvic organ prolapse (POP) is greatly affecting the quality of life (QOL) of women. There are some surgical techniques for POP repair, for example, transvaginal mesh surgery (TVM), laparoscopic sacrocolpopexy (LSC), and robot-assisted sa...
BACKGROUND: The robot-assisted cholecystectomy could provide a sufficient surgical field with the extremely low-pressure pneumoperitoneum (ELPP; 4 mmHg) by the robot arm lifting the abdominal wall upward. This study aimed to investigate the effect of...
We sought to describe the development of the robotic urology program at Sindh Institute of Urology and Transplantation (SIUT) and the feasibility of transitioning from the da Vinci to Versius robotic systems. The SIUT robotics program began in 2017 u...
OBJECTIVES: To analyse the risk of uretero-enteric anastomotic stricture in patients randomised to open (ORC) or robot-assisted radical cystectomy (RARC) with extracorporeal urinary diversion.
BACKGROUND: In recent years, the robot surgical system begins to be applied in single-anastomosis duodenal-ileal bypass with sleeve gastrectomy (SADI-S). However, only a few studies with very small sample size are present on robotic SADI-S.
Machine-learning based risk prediction models have the potential to improve patient outcomes by assessing risk more accurately than clinicians. Significant additional value lies in these models providing feedback about the factors that amplify an ind...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.