Transthoracic subtotal esophagectomy with two-field lymph node (mediastinal and abdominal) and monobloc posterior mediastinectomy is called Ivor Lewis esophagectomy. This intervention requires an abdominal and thoracic time that is carried out here e...
The international journal of medical robotics + computer assisted surgery : MRCAS
Jan 11, 2023
BACKGROUND: Several automated skill-assessment approaches have been proposed for robotic surgery, but their utility is not well understood. This article investigates the effects of one machine-learning-based skill-assessment approach on psychomotor s...
In recent years surgical robotic systems which were specifically developed for microsurgery have expanded the application of robotic-assisted surgery to plastic reconstructive surgery. Currently, there are two microsurgical robotic systems available ...
Robotic assistance in minimally invasive surgery offers numerous advantages for both patient and surgeon. However, the lack of force feedback in robotic surgery is a major limitation, and accurately estimating tool-tissue interaction forces remains a...
OBJECTIVE: To evaluate the impact of sustainable functional urethral reconstruction (SFUR) on early recovery of urinary continence (UC) after robot-assisted radical prostatectomy.
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Jan 9, 2023
OBJECTIVE: To compare perioperative costs and morbidity between open and robotic sacrocolpopexy after implementation of enhanced recovery after surgery (ERAS) pathway.
Radical prostatectomy (RP) is one of the standard treatments for localized prostate cancer. However, in terms of functional outcomes, there are aspects that still need improvements. We designed this prospective phase I/II clinical trial to assess th...
Deep Reinforcement Learning (DRL) algorithms have been widely studied for sequential decision-making problems, and substantial progress has been achieved, especially in autonomous robotic skill learning. However, it is always difficult to deploy DRL ...
This paper addresses the problem of multi-robot task scheduling in Antarctic environments. There are various algorithms for multi-robot task scheduling, but there is a risk in robot operation when applied in Antarctic environments. This paper propose...