Latest AI and machine learning research in anesthesiology for healthcare professionals.
INTRODUCTION: Parturient controlled epidural analgesia (PCEA) is an established method of providing ...
The aim of the present study was to compare the perioperative outcomes of extracorporeal (EXTRA) i...
Studies regarding the influence of diabetes on perioperative outcomes after major hepatectomy are co...
Assessment of risk before lung resection surgery can provide anesthesiologists with information abou...
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation o...
Monitoring the pain intensity in critically ill patients is crucial because intense pain can cause a...
To present multinational experience in robot-assisted radical prostatectomy (RARP) by fellowship-tr...
This case involved a 63-year-old man. He underwent robot-assisted radical prostatectomy (RARP) for p...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
While hundreds of genes have been associated with pain, much of the molecular mechanisms of pain rem...
OBJECTIVES: To evaluate the safety and efficacy, and long-term functional and oncologic outcomes of ...
In recent years, specific cortical networks have been proposed to be crucial for sustaining consciou...
To describe perioperative outcomes following robot-assisted prostatectomy performed by a single surg...
In recent years, deep learning-based image analysis methods have been widely applied in computer-aid...
BACKGROUND: Although commercially available analgesic indices based on biosignal processing have bee...
Transoral robotic surgery (TORS) is a novel surgical treatment of head and neck cancers, mainly for ...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
Intracorporeal anastomosis (IA) may improve outcomes compared with extracorporeal anastomosis (EA) i...