Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVE: To determine the impact of introduction of a robotic surgical system on hysterectomy trends.
During the past years, a rapid development and refinements of robotic heart valve techniques have led to consider robotic mitral valve (MV) surgery safe, effective, and durable. Robotic MV surgery has proven to be a cost-effective and cost-saving strategy in MV operations, being associated with reduced morbidity and mortality rates. We present a novel video-assisted transareolar approach to access...
INTRODUCTION: We investigate the safety and efficacy of single-site robotic cholecystectomy compared to laparoscopic cholecystectomy at an inner-city ...
We are presenting the management of an infected pancreatic fluid collection that occurred six months after distal pancreatectomy in the setting of a r...
Laparoscopic surgery has generated a revolution in operative medicine during the past few decades. Although strongly criticized during its early years...
The prediction of bleeding risk in cardiopulmonary bypass (CPB) patients plays a vital role in their postoperative management. Therefore, an artificia...
Osteoarthritis is a common disease that leads patients to seek total joint replacement (TJR). Component misalignment leads to failure of TJR. Computer...
BACKGROUND: Robotic-assisted surgery has increased in popularity in recent years. Benefits have been observed for both the patient and hospital system...
OBJECTIVE: The aim of this study is to evaluate long-term oncologic outcomes of robotic surgery for rectal cancer compared with laparoscopic surgery a...
BACKGROUND: Surgical robotics has been shown to improve the accuracy of bone preparation and soft tissue balance in unicondylar knee arthroplasty (UKA...
Instrumented objects and multipurpose haptic displays have commonly been used to investigate sensorimotor control of grasping and manipulation. A majo...
We analyze the effect of network topology on the pattern stability of the Hopfield neural network in the case of general graphs. The patterns are rand...
BACKGROUND: We performed a prospective pilot study of robotic-assisted laparoscopic transanal proctectomy with total mesorectal excision for the surgi...
PURPOSE: Herein, we firstly present the robotic single-site cholecystectomy (RSSC) as performed in Asia and evaluate whether it could overcome the lim...
UNLABELLED: PHENOMENON: Virtual reality simulators are the subject of several recent studies of skills training for robot-assisted surgery. Yet no con...
The promise of personalized medicine will require rigorously validated molecular diagnostics developed on minimally invasive, clinically relevant samp...
PURPOSE: The main objective of this study was to compare the effect of two anaesthetic techniques (general vs combined) on plasma levels of NGAL (Neut...
BACKGROUND/AIMS: Robotic surgery is increasingly used for rectal cancer. We compared the short- and long-term outcomes between robotic- and laparoscop...
High cost of robotized complex and expendables is significant difficulty for its acquisition and introduction of robot-assisted operations. Critical e...
This paper presents a dictionary learning-based method to segment the brain surface in post-surgical CT images of epilepsy patients following surgical...