Latest AI and machine learning research in surgery for healthcare professionals.
PURPOSE: Surgery remains the mainstay treatment for parapharyngeal space (PPS) tumors. Given the rapid advance and increasing usage of endoscopic and robotic techniques, we aimed to investigate the surgical trends of PPS tumors in our institution and analyze their impact on patients' treatment outcomes.
OBJECTIVE: To report perioperative and postoperative outcomes in men who undergo salvage RASP (sRASP) following some other endoscopic outlet procedure for benign prostate enlargement (BPE) compared to those undergoing RASP for primary treatment (pRASP).
INTRODUCTION: Nowadays, most rectal tumours are treated open or minimally invasive, using laparoscopic, robot-assisted or transanal total mesorectal e...
We propose a dual-module robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-cha...
Indocyanine green fluorescence angiography (ICG-FA) allows for real-time intraoperative assessment of the perfusion of the gastric conduit during esop...
Machine learning systems have become integrated into some of the most vital decision-making aspects of humanity, including hiring decisions, loan appl...
PURPOSE: Vision-based tissue tracking is a significant component for building efficient autonomous surgical robot system. While the methodology involv...
To test the safety and feasibility of laser lithotripsy for midsize renal stones using a newly developed robotic retrograde intrarenal surgery (RIRS)...
Accurate segmentation of surgical resection sites is critical for clinical assessments and neuroimaging research applications, including resection ext...
The collective experience supporting the safety and efficacy of transoral robotic surgery continues to grow. The surgical robot da Vinci Xi has been u...
During laparoscopic surgery, surgical gauze is usually inserted into the body cavity to help achieve hemostasis. Retention of surgical gauze in the bo...
Opioid dependency has been a persistent issue in the United States over the past two decades. Increased efforts have been made to reduce opioid presc...
BACKGROUND: We present an artificial intelligence framework for vascularity classification of the gallbladder (GB) wall from intraoperative images of ...
PURPOSE: We employ nnU-Net, a state-of-the-art self-configuring deep learning-based semantic segmentation method for quantitative visualization of hem...
The paper describes the semi-automatised calibration procedure of an electronic skin comprising screen-printed graphene-based sensors intended to be u...
: The emergence of wireless capsule endoscopy (WCE) has presented a viable non-invasive mean of identifying gastrointestinal diseases in the field of ...
This study was to explore the diagnostic value of magnetic resonance imaging (MRI) optimized by residual segmentation attention dual channel network (...
The vast and ever-growing volume of electronic health records (EHR) have generated a wealth of information-rich data. Traditional, non-machine learnin...