Latest AI and machine learning research in surgery for healthcare professionals.
INTRODUCTION: Machine learning methods have emerged as objective tools to evaluate operative performance in urological procedures. Our objectives were to establish machine learning-based methods for predicting surgeon caseload for nerve-sparing robot-assisted radical prostatectomy using our validated hydrogel-based simulation platform and identify potential metrics of surgical expertise.
PURPOSE: A robotic platform has enabled extremely low-pressure pneumoperitoneum (ELPP, 4 mmHg) to reduce surgical insults to human physiology during a minimally invasive surgery. The objective of this study was to investigate the effect of ELPP in single-site robotic cholecystectomy (SSRC) on postoperative pain, shoulder pain, and physiological changes during surgery compared to a standard pressur...
CONTEXT: Robot-assisted radical prostatectomy (RARP) has largely replaced conventional laparoscopic radical prostatectomy (LRP) even though the costs ...
Robotics facilitates the realization of intra-corporeal anastomosis during right hemicolectomy and allows extracting the operative specimen through a ...
BACKGROUND: Robotic nipple-sparing mastectomy (RNSM) has emerged as a new treatment option for breast cancer and risk-reducing mastectomy (RRM) for wo...
This article provides a critical analysis of the application of the advanced language model, GPT-4, in generating surgical operative notes, with a foc...
INTRODUCTION: The Cattell-Braasch maneuver has been widely used to provide adequate exposure for aorto-caval space (ACS) since the 1960s. Given its re...
A 37-year-old man with Crohn's disease (CD) and a history of abdominal surgery was diagnosed with anal canal cancer. Robot-assisted laparoscopic abdom...
Untethered magnetic miniature soft robots capable of accessing hard-to-reach regions can enable safe, disruptive, and minimally invasive medical proce...
Intracranial hemorrhage (ICH) from traumatic brain injury (TBI) requires prompt radiological investigation and recognition by physicians. Computed tom...
BACKGROUND: Stationary robotic gait trainers usually allow for adjustment of training parameters, including gait speed, body weight support and roboti...
Safety plays a key role in human-robot interactions in collaborative robot (cobot) applications. This paper provides a general procedure to guarantee ...
The incontinence after RARP significantly decreases the quality of life in prostate cancer patients. A number of techniques have been introduced for t...
The aim of this study was to compare outcomes of laparoscopic and robotic-assisted colectomy in children. All children who underwent a colectomy with ...
Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The pu...
Background: Hemorrhage remains the leading cause of death on the battlefield. This study aims to assess the ability of an artificial intelligence tria...
PURPOSE: To compare the perioperative outcomes of L-RPLND, R-RPLND and O-RPLND, and determine which one can be the mainstream option.
BACKGROUND: To compare the difference of short-term curative effect between the use of Maryland forceps (MF) and electrocoagulation hooks (EH) in da V...
Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging (dMRI) data is of great significance in health and diseas...
Palpation is a simple but effective method to distinguish tumors from healthy tissues. The development of miniaturized tactile sensors embedded on end...