Latest AI and machine learning research in surgery for healthcare professionals.
Acute and chronic wounds are a challenge to healthcare systems around the world and affect many people's lives annually. Wound classification is a key step in wound diagnosis that would help clinicians to identify an optimal treatment procedure. Hence, having a high-performance classifier assists wound specialists to classify wound types with less financial and time costs. Different wound classifi...
Ground robotic vehicles are often deployed to inspect areas where radioactive floor contamination is a prominent risk. However, the accuracy of detection could be adversely affected by enhanced radiation signal through self-contamination of the robot occurring over the course of the inspection. In this work, it was hypothesised that a six-legged robot could offer advantages over the more conventio...
Several benefits have been reported after applying the principles of enhanced recovery after surgery (ERAS) into the perioperative care of patients un...
Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation ...
BACKGROUND: The da Vinci single-port (SP) system is designed to facilitate single-incision robotic surgery in a narrow space. We developed a new proce...
Minimally invasive distal pancreatectomy has become increasingly used in practice. While laparoscopic approach is the most commonly used technique, ro...
Retinal screening contributes to early detection of diabetic retinopathy and timely treatment. To facilitate the screening process, we develop a deep ...
INTRODUCTION: The rapid development of electromechanical and robotic devices has profoundly influenced neurorehabilitation. Growth in the scientific a...
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical procedures. Although the introduction of the operat...
INTRODUCTION: Surgical stress is the systemic response to surgical injury. Analyzing these surgical stress responses and pharmacologically modulating ...
BACKGROUND: The conventional hand-held minimally invasive surgical devices commonly suffer from non-intuitive manipulability and restricted flexibilit...
OBJECTIVE: This study was performed to evaluate the clinical and perioperative outcomes of laparoscopic retroperitoneal lymph node dissection (L-RPLND...
PURPOSE: Decision-making and dexterity, features that become increasingly relevant in (robot-assisted) minimally invasive surgery, are considered key ...
PURPOSE: Automatic recognition and removal of smoke in surgical procedures can reduce risks to the patient by supporting the surgeon. Surgical smoke c...
BACKGROUND: A new device has been added to the Chinese MicroHand surgical robot family, developed based on the successful application of control algor...
Early identification of resource needs is instrumental in promoting efficient hospital resource management. Hospital information systems, and electron...
BACKGROUND: The paucity of accurate quantitative standards for determining the quantity of red blood cells (RBCs) needed for perioperative patients an...
BACKGROUND: Robot-assisted laparoscopic transverse colon tumor surgery requires precise tumor localization. The purpose of this study was to evaluate ...
The objective of this study was to evaluate the educational impact following the implementation of a robotic thoracic surgery program on cardiothoraci...