Latest AI and machine learning research in anesthesiology for healthcare professionals.
With the tremendous volume of data captured during surgeries and procedures, critical care, and pain management, the field of anesthesiology is uniquely suited for the application of machine learning, neural networks, and closed loop technologies. In the past several years, this area has expanded immensely in both interest and clinical applications. This article provides an overview of the basic t...
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become procedure of choice at many centers all over the world. The objective of this study is to present our experience of robot assisted minimally invasive esophagectomy with respect to perioperative morbidity and short-term oncological outcomes and a comparison of the same to a cohort of our patients who ...
BACKGROUND: Radical cystectomy (RC) is the standard treatment for bladder cancer, but the safety and efficacy of this treatment for elderly people nee...
PURPOSE: This study was designed to investigate and compare the perioperative outcomes of intracorporeal urinary diversion (ICUD) versus extracorporea...
To evaluate potential factors associated with the risk of perioperative blood transfusion (PBT) with implications on length of hospital stay (LOHS) an...
Administration of medication via enteral feeding tubes (EFT) is common in cases where patients are unable to swallow the dosage form or a patient is i...
INTRODUCTION: Caudal epidural injections (CEIs) are widely used in the treatment of lumbar spinal stenosis (LSS). Imaging modalities, such as fluorosc...
Anesthesia assessment is most important during surgery. Anesthesiologists use electrocardiogram (ECG) signals to assess the patient's condition and gi...
Several benefits have been reported after applying the principles of enhanced recovery after surgery (ERAS) into the perioperative care of patients un...
BACKGROUND: Periarticular infiltration (PAI) analgesia has been found to be an effective analgesia modality after total knee arthroplasty (TKA). Dexme...
OBJECTIVE: This study was performed to evaluate the clinical and perioperative outcomes of laparoscopic retroperitoneal lymph node dissection (L-RPLND...
Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side ...
RATIONALE AND OBJECTIVES: The clinical prognosis of outpatients with coronavirus disease 2019 (COVID-19) remains difficult to predict, with outcomes i...
We aimed to assess the accuracy of an artificial intelligence (AI)-based real-time anatomy identification software specifically developed to ease imag...
BACKGROUND: The effects of ketofol (propofol and ketamine admixture) on systemic hemodynamics and outcomes in patients undergoing emergency decompress...
Ultrasound-guided regional anesthesia involves visualizing sono-anatomy to guide needle insertion and the perineural injection of local anesthetic. An...
Although advances in machine-learning healthcare applications promise great potential for innovative medical care, few data are available on the trans...
In current anesthesiology practice, anesthesiologists infer the state of unconsciousness without directly monitoring the brain. Drug- and patient-spec...
Weaning from mechanical ventilation covers the process of liberating the patient from mechanical support and removing the associated endotracheal tube...
Suction during robotic surgery has traditionally been performed by a bedside assistant. Adequately skilled assistants are not always available. We as...