Latest AI and machine learning research in surgery for healthcare professionals.
To identify factors affecting potency and to predict ideal patient subgroups who will have the highest chance of being potent after robot-assisted laparoscopic prostatectomy (RALP) based on nerve sparing (NS). Analysis of 7268 patients who underwent RALP between 2008 and 2018 with a minimum of 12 months of follow-up was performed. The patients were then categorized into four separate neurovascul...
The untethered miniature swimming robot actuation and control is difficult as the robot size becomes smaller, due to limitations of feasible miniaturized on-board components. Nature provides much inspiration for developing miniature robot. Here, a new artificial untethered miniature robotic fish with a flexible magnetic skeleton and soft body that achieve controlled locomotion under the water thro...
BACKGROUND: Patients with very-high-risk prostate cancer (VHRPCa) have earlier biochemical recurrences (BCRs) and higher mortality rates. It remains u...
Axonal degeneration (AxD) is a pathological hallmark of many neurodegenerative diseases. Deciphering the morphological patterns of AxD will help to un...
BACKGROUND: Recently, thymectomy using minimally invasive approaches has been increasing with the development of robotic video-assisted thoracoscopic ...
BACKGROUND: Ileal anastomosis is imperative in patients given a urinary diversion during radical cystectomy. Proper handling and staplers with a certa...
We aimed to assess whether early exposure of medical students to robotic surgery training influences their interest in a surgical career and improves ...
The present study aimed to assess the safety and efficacy of robot-assisted radical prostatectomy (RARP) in patients with prostate cancer (PCa) under ...
Open pancreatoduodenectomy (OPD) is associated with high perioperative morbidity. Adoption of robot-assisted pancreatoduodenectomy (RAPD) has been slo...
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) augment decision-making processes and productivity by supporting surgeons over a ...
In this paper, we analyse patients' perspectives on the introduction of artificial intelligence (AI) and robotic systems in healthcare. Based on citiz...
In order to meet the assist requirements of extravehicular activity (EVA) for astronauts, such as moving outside the international space station (ISS)...
In order to deeply study oral three-dimensional cone beam computed tomography (CBCT), the diagnosis of oral and facial surgical diseases based on deep...
PURPOSE: Virtual reality-based simulators have the potential to become an essential part of surgical education. To make full use of this potential, th...
OBJECTIVE: Cardiovascular diseases are the most common cause of global death. Endovascular interventions, in combination with advanced imaging technol...
Adding haptic feedback has been reported to improve the outcome of minimally invasive robotic surgery. In this study, we seek to determine whether an ...
Parkinson's disease (PD) is a progressive neurodegenerative disease presenting with motor and non-motor symptoms, including skin disorders (seborrheic...
Retroperitoneal approach and segmental renal artery clamping in partial nephrectomy are techniques that facilitate postoperative recovery and renal f...
INTRODUCTION: In spite of the high frequency of recurrence of hepatocellular carcinoma (HCC) after resection, little evidence exists to directly help ...
MRI has helped clarify the relationship between pelvic anatomical structures and functional outcomes after robot-assisted radical prostatectomy (RARP...