Latest AI and machine learning research in surgery for healthcare professionals.
Orthopedic surgery remains technically demanding due to the complex anatomical structures and cumbersome surgical procedures. The introduction of image-guided orthopedic surgery (IGOS) has significantly decreased the surgical risk and improved the operation results. This review focuses on the application of recent advances in artificial intelligence (AI), deep learning (DL), augmented reality (AR)...
Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We ai...
Robot-assisted surgery is likely to become the new standard of care for functional urology and neurourology. It has the potential to fill the gap that...
PURPOSE: This study aimed to compare perioperative outcomes of robotic and laparoscopic transabdominal peritoneal repair (TAPP) for unilateral inguina...
The proposed video-vignette represents a later step towards a truly robotically surgical approach, that combines oncological radicality and preservati...
With introduction of the da Vinci single-port (SP) system, we evaluated which multiport (MP) robotic skills are naturally transferable to the SP plat...
With advances in robotic technology, the complexity of control of robot has been increasing owing to fundamental signal bottlenecks and limited expres...
Learning from visual observation for efficient robotic manipulation is a hitherto significant challenge in Reinforcement Learning (RL). Although the c...
Salvage surgery for esophageal cancer after definitive chemoradiotherapy (dCRT) is effective, but it is associated with a high rate of perioperative c...
Previous studies have shown that the robotic approach has better perioperative outcomes but longer operative time than the laparoscopic approach for ...
BACKGROUND: To explore the clinical application of robotic-assisted surgery in paediatric solid tumours and to explore its feasibility.
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is a common life-threatening condition that must be rapidly diagnosed and treated. However, ther...
PURPOSE: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-o...
OBJECTIVE: To describe the most recent surgical, functional, and oncological outcomes of RPN utilizing one of the largest, prospectively maintained, m...
Tactile sensors for robotic applications enhance the performance of robotic end-effectors as they ca n provide tactile information to operate various ...
When we think of "soft" in terms of socially assistive robots (SARs), it is mainly in reference to the soft outer shells of these robots, ranging from...
The aim of this study is to investigate the effect of bladder neck plication during transperitoneal robot-assisted radical prostatectomy (tRARP) on o...
PURPOSE: Computer assistance for endoscopic surgery depends on knowledge about the contents in an endoscopic scene. An important step of analysing the...
Robotic surgical systems are now an inherent part of the German hospital landscape. In recent years, there has been an enormous increase in installed ...
Post-prostatectomy urinary incontinence is one of the greatest concerns for both patients and urologists. The aim of this study is to elucidate simple...