Bone cancer is a severe condition often leading to patient mortality. Diagnosis relies on X-rays, MRIs, or CT scans, which require time-consuming manual review by experts. Thus, developing an automated system is crucial for accurate classification o...
MOTIVATION: Typical surgical microscopes used for fluorescence-based lymph node detection experience limitations such as weight and restricted adjustability of the integrated light emitting diode (LED) and camera. This restricts the capture of detail...
BACKGROUND: Surgical robots have innovated the microsurgical field by providing advantages that improve surgical performance. These robots have been adopted by certain specialties more than others. This study discusses the potential advantages of rob...
Deep and organ space surgical site infections (SSI) require more intensive treatment, may result in more severe clinical disease and may have different risk factors when compared to superficial SSIs. Machine learning (ML) algorithms provide the oppo...
While robotic-assisted surgery is in a Renaissance, telesurgery, facilitated by robotic technology, is evolving in the space between innovative and mainstream clinical practice. This article outlines the current utilization of robotic telesurgery and...
PURPOSE: This study aimed to compare motions of the laparoscope tip during a laparoscopic task in a training box using a recent joystick-guided robotic scope holder to those manipulated by human scopists. We hypothesized that laparoscopic manipulatio...
The proposed video-vignette represents a later step towards a truly robotically surgical approach, that combines oncological radicality and preservation of optimal blood flow during a sigmoidectomy for cancer. This totally robotic vessel-sparing appr...
Previous studies have shown that the robotic approach has better perioperative outcomes but longer operative time than the laparoscopic approach for patients undergoing low anterior resection. However, the impact of the learning curve on operative t...
INTRODUCTION: Trauma patients have diverse resource needs due to variable mechanisms and injury patterns. The aim of this study was to build a tool that uses only data available at time of admission to predict prolonged hospital length of stay (LOS).