Anesthesiology

Latest AI and machine learning research in anesthesiology for healthcare professionals.

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Predicting difficult airway intubation in thyroid surgery using multiple machine learning and deep learning algorithms.

BACKGROUND: In this paper, we examine whether machine learning and deep learning can be used to pred...

A Case Study of Multiple Maintenance Efficacy in Gynaecological Surgery Assessed by Deep Learning.

Deep learning is a new learning concept and a highly effective way of learning, which is still being...

Meta-analysis of robot-assisted versus video-assisted McKeown esophagectomy for esophageal cancer.

We aim to review the available literature on patients with esophageal cancer treated with robot-assi...

A Two-Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States Analysis.

Investigating neural mechanisms of anesthesia process and developing efficient anesthetized state de...

Robotic Liver Surgery: Technical Advantages Over Laparoscopic Technique Based on Parameters of Surgical Complexity and Perioperative Outcomes.

In view of the limited availability, our study addresses the issue of optimal case selection for ro...

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index.

There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia...

Clinical and oncological outcomes of open partial nephrectomy versus robot assisted partial nephrectomy over 15 years.

Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The ob...

Provisional Decision-Making for Perioperative Blood Pressure Management: A Narrative Review.

Blood pressure (BP) is a basic determinant for organ blood flow supply. Insufficient blood supply wi...

Needle path planning in semiautonomous and teleoperated robot-assisted epidural anaesthesia procedure: A proof of concept.

BACKGROUND: Epidural anaesthesia is a Percutaneous Procedure (PP) which plays a crucial role in surg...

Prediction of blood pressure changes associated with abdominal pressure changes during robotic laparoscopic low abdominal surgery using deep learning.

BACKGROUND: Intraoperative hypertension and blood pressure (BP) fluctuation are known to be associat...

Epidural anesthesia needle guidance by forward-view endoscopic optical coherence tomography and deep learning.

Epidural anesthesia requires injection of anesthetic into the epidural space in the spine. Accurate ...

Perioperative outcomes following robot-assisted partial nephrectomy for renal cell carcinoma according to surgeon generation.

OBJECTIVE: The experience of performing robot-assisted partial nephrectomy (RAPN) is associated with...

Development of a deep learning model that predicts Bi-level positive airway pressure failure.

Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated...

Predicting perioperative outcomes of robot-assisted radical cystectomy: Data from the Asian Robot-Assisted Radical Cystectomy Consortium.

OBJECTIVES: To report the perioperative outcomes of robot-assisted radical cystectomy and elucidate ...

Effects of sevoflurane versus propofol on cerebral autoregulation during anaesthesia for robot-assisted laparoscopic prostatectomy.

Robot-assisted laparoscopic prostatectomy requires a pneumoperitoneum combined with steep Trendelenb...

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