Latest AI and machine learning research in anesthesiology for healthcare professionals.
BACKGROUD: Postoperative pain following total knee arthroplasty (TKA) may hamper patients from a rapid recovery and increase perioperative blood loss and stress on the cardiovascular system. Therefore, our objective was to assess perioperative outcomes after TKA in patients who were not candidates for the additional nonsteroidal anti-inflammatory drugs (NSAIDs) in a multimodal pain control regimen...
Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires tremendous practice of trainees before clinical exposure. However, current manikin-based training regimen is ineffective in providing satisfactory real-time procedural guidance for accurate assessment due to the lack of see-through visualization within the manikin. The training efficiency is further reduced by t...
This review describes the steps and conclusions from the development and validation of an artificial intelligence algorithm (the Hypotension Predictio...
Perioperative medicine is a patient-centered, multidisciplinary and integrated clinical practice that starts from the moment of contemplation of surge...
A novel hair sample pre-treatment method based on high-speed grinding and solid-phase microextraction (SPME) had been applied for the determination of...
BACKGROUND: Tranexamic acid (TXA) has been effective in reducing perioperative blood loss in hip, knee, and shoulder arthroplasty. Our purpose was to ...
The aim of this study is to investigate the feasibility of the detection of brief periods of pain sensation based on cardiorespiratory signals during ...
Early and accurate prediction of the need for intubation may provide more time for preparation and increase safety margins by avoiding high risk late ...
OBJECTIVE: This prospective randomised double-blind study was conducted to compare the effect of intravenous (IV) with intraperitoneal (IP) administra...
OBJECTIVE: Breast cancer is the most common malignancy among women and often requires surgery for the removal of the tumour. Uncontrolled pain after b...
OBJECTIVE: To analyze artificial intelligence image-assisted knee ligament injury repair and femoral nerve block analgesia after surgery.
We developed a machine learning model for efficient analysis of echocardiographic image quality in hospitalized patients. This study applied a machine...
PURPOSE: The purpose of this study is to develop a machine learning algorithm to predict future intubation among patients diagnosed or suspected with ...
OBJECTIVES: We compared the effects of sub-Tenon's capsule anesthesia (STA) and trans-Tenon's capsule retrobulbar anesthesia (TTRBA) in 68 patients wi...
INTRODUCTION: This study aimed to evaluate the safety of an inguinal hernia repair (IHR) under local anesthesia (LA) in the elderly with a perioperati...
BACKGROUND: Erector spinae plane (ESP) block is a recently described interfacial block, and since 2016, studies have shown that it is a safe technique...
The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (RARP) depends on multiple clinical, anatomical and...
A traditional single-target analgesic, though it may be highly selective and potent, may not be sufficient to mitigate pain. An alternative strategy f...
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesi...
Echocardiography is a unique diagnostic tool for intraoperative monitoring and assessment of patients with cardiovascular diseases. However, there are...