Anesthesiology

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

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Single-port vs multi-port robot-assisted renal surgery: analysis of perioperative outcomes for excision of high and low complexity renal masses.

There is emerging but limited data assessing single-port (SP) robot-assisted surgery as an alternati...

Robot-assisted partial nephrectomy in morbidly obese patients: a VCQI database study.

To compare perioperative outcomes following robot-assisted partial nephrectomy (RAPN) in patients wi...

Robot-assisted radical prostatectomy following holmium laser enucleation of the prostate: perioperative, functional, and oncological outcomes.

Robot-assisted radical prostatectomy with previous holmium laser enucleation of the prostate is chal...

Perioperative role of oral gabapentin as an analgesic in paediatric patients: A randomised controlled trial.

BACKGROUND AND AIMS: Surgical procedure commonly performed in the advanced pediatric age group inclu...

Machine Learning of Physiologic Waveforms and Electronic Health Record Data: A Large Perioperative Data Set of High-Fidelity Physiologic Waveforms.

Perioperative morbidity and mortality are significantly associated with both static and dynamic peri...

Artificial intelligence and "the Art of Kintsugi" in Anesthesiology: ten influential papers for clinical users.

Artificial intelligence refers to the simulation of human intelligence in machines that are programm...

Optimal machine learning methods for prediction of high-flow nasal cannula outcomes using image features from electrical impedance tomography.

BACKGROUND: High-flow nasal cannula (HNFC) is able to provide ventilation support for patients with ...

One-Step Robot-Assisted Complete Urinary Tract Extirpation in Man with End-Stage Renal Disease on Dialysis: The First Case Report.

Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC...

Perioperative comparison between robot-assisted and laparoscopic radical cystectomy: An update meta-analysis.

We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) ...

Enabling personalized perioperative risk prediction by using a machine-learning model based on preoperative data.

Preoperative risk assessment is essential for shared decision-making and adequate perioperative care...

A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT.

PURPOSE: To develop a deep learning (DL) model for epidural spinal cord compression (ESCC) on CT, wh...

Con: Artificial Intelligence-Derived Algorithms to Guide Perioperative Blood Management Decision Making.

Artificial intelligence has the potential to improve the care that is given to patients; however, th...

[Video-assisted Double-lumen Tubes in Robot-assisted Oesophageal Surgery].

Robot-assisted esophagectomies are still considered high-risk procedures requiring complex surgical ...

Disparities in access to robotic technology and perioperative outcomes among patients treated with radical prostatectomy.

BACKGROUND: Most radical prostatectomies are completed with robotic assistance. While studies have p...

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