Surgery

Artificial intelligence in perioperative medicine: a narrative review.

Recent advancements in artificial intelligence (AI) techniques have enabled the development of accurate prediction models using clinical big data. AI models for perioperative risk stratification, intraoperative event prediction, biosignal analyses, and intensive care medicine have been developed in the field of perioperative medicine. Some of these models have been validated using external dataset...

A Novel Prescribed-Performance-Tracking Control System with Finite-Time Convergence Stability for Uncertain Robotic Manipulators.

Through this article, we present an advanced prescribed performance-tracking control system with finite-time convergence stability for uncertain robotic manipulators. It is therefore necessary to define a suitable performance function and error transformation to guarantee a prescribed performance within a finite time. Following the definitions mentioned, a modified integral nonlinear sliding-mode ...

The effect of preoperative membranous urethral length on likelihood of postoperative urinary incontinence after robot-assisted radical prostatectomy.

BACKGROUND: Urinary incontinence after radical prostatectomy affects many men. In addition to surgical and patient factors, longer preoperative membra...

Deep Learning Analysis of Histologic Images from Intestinal Specimen Reveals Adipocyte Shrinkage and Mast Cell Infiltration to Predict Postoperative Crohn Disease.

Most patients with Crohn disease (CD), a chronic inflammatory gastrointestinal disease, experience recurrence despite treatment, including surgical re...

New Quality Cost Framework (QCF) Based on the Hybrid Fuzzy MCDM Approach.

Quality cost framework (QCF), as a measurement tool and research method, has played a significant role on quality improvement procedure (QIP) and reco...

The Impact of Postoperative Renal Function Recovery after Laparoscopic and Robot-Assisted Partial Nephrectomy in Patients with Renal Cell Carcinoma.

Background and objectives: This study aimed to evaluate the association between warm ischemic time (WIT) and postoperative renal function using Trifec...

Are there disparities in access to robot-assisted laparoscopic surgery among pediatric urology patients? US institutional experience.

OBJECTIVE: Literature suggests access to robotic surgery varies by race and payer status. We seek to investigate whether disparities exist in robot-as...

Fully automatic resolution of untargeted GC-MS data with deep learning assistance.

DeepResolution (Deep learning-assisted multivariate curve Resolution) has been proposed to solve the co-eluting problem for GC-MS data. However, DeepR...

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos.

Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action triplet recognition stands out as the only one aiming to pr...

Single port robotic assisted sacrocolpopexy: technique and tips.

INTRODUCTION AND HYPOTHESIS: Sacrocolpopexy is the most durable surgical procedure for the treatment of symptomatic pelvic organ prolapse (Maher et al...

Deep Neural Networks Can Accurately Detect Blood Loss and Hemorrhage Control Task Success From Video.

BACKGROUND: Deep neural networks (DNNs) have not been proven to detect blood loss (BL) or predict surgeon performance from video.

Robot-assisted, real-time, MRI-guided laser interstitial thermal therapy for pediatric patients with hypothalamic hamartoma: surgical technique, pitfalls, and initial results.

OBJECTIVE: Real-time, MRI-guided laser interstitial thermal therapy (MRgLITT) has been reported as a safe and effective technique for the treatment of...

Robotic pyelolithotomy in a solitary pelvic kidney complicated with fulminant Clostridium difficile: a case report.

BACKGROUND: Robotic-assisted surgeries have gradually become the standard of care for many procedures, especially in the field of urology. Despite the...

The robotic learning curve for a newly appointed colorectal surgeon.

Robotic colorectal surgery allows for better ergonomics, superior retraction, and fine movements in the narrow anatomy of the pelvis. Recent years hav...

Single-position robot-assisted versus laparoscopic antegrade bilateral inguinal lymphadenectomy for penile cancer: A retrospective controlled study.

OBJECTIVES: The main purpose of this study was to compare the surgical strategy and clinical outcomes of single-position robotic assisted laparoscopic...

Minimally Invasive Esophagectomy Is Associated with Superior Survival Compared to Open Surgery.

INTRODUCTION: Minimally invasive esophagectomy (MIE) has not been associated with a long-term survival advantage compared to open esophagectomy (OE). ...

The past, the present and the future of machine learning and artificial intelligence in anesthesia and Postanesthesia Care Units (PACU).

Over the past decade, artificial intelligence (AI) has largely penetrated our daily life. Hence, our expectations regarding clinical AI are very high....

Concurrent robot-assisted radical prostatectomy and robot-assisted partial nephrectomy for patients with synchronous prostate cancer and small renal tumor: A case series of five patients.

Robotic surgery has become widely used in the field of urology. We experienced concurrent robot-assisted radical prostatectomy (RARP) and robot-assist...

MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning.

Rapid advancements in deep learning have led to many recent breakthroughs. While deep learning models achieve superior performance, often statisticall...

Long-term results of robotic-assisted coronary artery bypass grafting with composite arterial grafts for multiple coronary anastomoses: 10-year experience.

Currently, robotic-assisted coronary artery bypass grafting (RACABG) is a feasible choice for myocardial revascularization. Acceptable outcomes have b...