Anesthesiology

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

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Learning curves and perioperative outcomes of single-incision robotic sacrocolpopexy on two different da Vinci surgical systems.

This study aimed to report a single surgeon's early experience and learning curves of single-incisio...

Spatiotemporal analysis of speckle dynamics to track invisible needle in ultrasound sequences using convolutional neural networks: a phantom study.

PURPOSE: Accurate needle placement into the target point is critical for ultrasound interventions li...

Early recognition of risk of critical adverse events based on deep neural decision gradient boosting.

INTRODUCTION: Perioperative critical events will affect the quality of medical services and threaten...

Haemodynamic and respiratory perioperative outcomes for open versus robot-assisted radical cystectomy: A double-blinded, randomised trial.

BACKGROUND: The clinical impact of prolonged steep Trendelenburg position and CO pneumoperitoneum du...

Research progress on the structure and biological diversities of 2-phenylindole derivatives in recent 20 years.

The privileged structure binds to multiple receptors with high affinity, which is helpful to the dev...

Case of robot-assisted salvage surgery for esophageal cancer with a mediastinal fistula after definitive chemoradiotherapy.

Salvage surgery for esophageal cancer after definitive chemoradiotherapy (dCRT) is effective, but it...

DeepEOR: automated perioperative volumetric assessment of variable grade gliomas using deep learning.

PURPOSE: Volumetric assessments, such as extent of resection (EOR) or residual tumor volume, are ess...

Review of robot-assisted laparoscopic surgery in management of infant congenital urology: Advances and limitations in utilization and learning.

As robotic-assisted (RAL) surgery expanded to treat pediatric congenital disease, infant anatomy and...

Cost drivers for benign hysterectomy within a health care system: Influence of patient, perioperative, and hospital factors.

OBJECTIVE: To identify patient, perioperative, and hospital factors that drive total hospital charge...

Robot-assisted esophagectomy with robot-sewn intrathoracic anastomosis (Ivor Lewis): surgical technique and early results.

Esophagectomy is the selected treatment for nonmetastatic esophageal and esophagogastric junction ca...

Artificial Intelligence and Machine Learning in Perioperative Acute Kidney Injury.

Acute kidney injury (AKI) is a common complication after a surgery, especially in cardiac and aortic...

3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients.

Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for assessing...

Surgeon experience, robotic perioperative outcomes, and complications in gynecology.

OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. ...

Robotic surgery in Hirschsprung disease: a unicentric experience on 31 procedures.

Robotic surgery has been increasingly applied to Hirschsprung patients with encouraging results. We ...

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