Latest AI and machine learning research in surgery for healthcare professionals.
Touch sensing is among the most important sensing capabilities of a human, and the same is true for smart robotics. Current research on tactile sensors is mainly concentrated on electronic skin (e-skin), but e-skin is prone to be easily dirtied, damaged, and disturbed after repeated usage, which greatly limits its practical applications in robotics. Here, by mimicking the way that animals explore ...
BACKGROUND: This study aimed to compare the surgical outcomes and cost of robotic single-site radical hysterectomy (RSSRH) versus robotic multiport radical hysterectomy (RMPRH) with pelvic lymph node dissection in early stage cervical cancer.
We present a video case report of a pediatric patient with previous robotic abdominal surgery who underwent robotic assisted Monti-Yang continent ileo...
We aim to directly compare the feasibility and safety of extended pelvic lymph node dissection (PLND) during transperitoneal robotic-assisted radical...
BACKGROUND: Robot-assisted radical prostatectomy (RARP) involves a tradeoff between oncological control and functional outcomes. Intraoperative contro...
The SpinVessel system provides a methodology using pulsed radial flow to gently mix and uniformly suspend particulates (cells, magnetic beads, silica ...
Diabetic retinopathy (DR) is a leading cause of blindness and affects millions of people throughout the world. Early detection and timely checkups are...
PURPOSE: One in five women who undergo breast conserving surgery will need a second revision surgery due to remaining tumor. The iKnife is a mass spec...
BACKGROUND: Most comparisons of robot-assisted (RARC) versus open radical cystectomy (ORC) for urothelial carcinoma do not factor the inherent stage s...
INTRODUCTION: Stroke is the third leading cause of adult disability worldwide, and lower extremity motor impairment is one of the major determinants o...
BACKGROUND: Accurate, objective pain assessment is required in the health care domain and clinical settings for appropriate pain management. Automated...
PURPOSE: Automatic workflow recognition from surgical videos is fundamental and significant for developing context-aware systems in modern operating r...
Accepting surgical complications, especially those related to the learning curve, as unavoidable events in colorectal procedures, is like accepting to...
OBJECTIVE: To describe perioperative adverse events, fertility and obstetric outcome, following a robot assisted laparoscopic approach for treating Ce...
In this study, we aimed to develop and validate a machine learning-based mortality prediction model for hospitalized heat-related illness patients. Af...
Postgraduate training in surgical specialties is one of the longest training programmes in the medical field. Most of the surgical training programmes...
BACKGROUND: Long-term outcomes of SIRC are not well established. Furthermore, SIRC is only now being considered more frequently for patients with inde...
We performed robotic neck surgery through a transoral or retroauricular approach (RA) using the DaVinci SP and analyzed our experiences to evaluate th...
BACKGROUND AND OBJECTIVE: Early hemorrhage enlargement in hypertensive cerebral hemorrhage indicates a poor prognosis. This study aims to predict the ...
BACKGROUND: The Senhance robotic surgery system is a novel robotic platform used in several European and World centres. We present our experience in u...