Anesthesiology

Incorporating New Technologies to Overcome the Limitations of Endoscopic Spine Surgery: Navigation, Robotics, and Visualization.

Recently, spine surgery has gradually evolved from conventional open surgery to minimally invasive surgery, and endoscopic spine surgery (ESS) has become an important procedure in minimally invasive spine surgery. With improvements in the optics, spine endoscope, endoscopic burr, and irrigation pump, the indications of ESS are gradually widening from lumbar to cervical and thoracic spine. ESS was ...

[Clinical Course and Treatment of Acute Urinary Retention after Robot- Assisted Laparoscopic Radical Prostatectomy : A Single Institution Experience of 11 Cases].

Robot-assisted laparoscopic radical prostatectomy (RARP) is becoming the standard treatment procedure for localized prostate cancer. The main complications associated with RARP include urinary incontinence and sexual dysfunction. In addition, acute urinary retention (AUR) after urethral catheter removal is sometimes seen. Early catheter removal is a risk factor for AUR, and administration of alpha...

The Future Directions of Research in Cardiac Anesthesiology.

This article provides an overview of knowledge gaps that need to be addressed in cardiac anesthesia, including mitigating the inflammatory effects of ...

The Performance of an Artificial Neural Network Model in Predicting the Early Distribution Kinetics of Propofol in Morbidly Obese and Lean Subjects.

BACKGROUND: Induction of anesthesia is a phase characterized by rapid changes in both drug concentration and drug effect. Conventional mammillary comp...

[Effects of mild moxibustion on Beclin-1/Bcl-2 expression in spinal cord of rats with cervical spondylotic radiculopathy].

OBJECTIVE: To observe the effects of mild moxibustion on the expression of autophagy and apoptosis factors Beclin-1, Bcl-2 mRNA and protein in spinal ...

[Multimodal recognition of pain intensity and pain modality with machine learning].

BACKGROUND: The objective recording of subjectively experienced pain is a problem that has not been sufficiently solved to date. In recent years, data...

Robot-Assisted Total Pancreatectomy With Autologous Islet Cell Transplantation: Perioperative Nursing Considerations.

Chronic pancreatitis (CP) is an inflammatory disease of the pancreas that causes pain and gastrointestinal problems in patients. Robot-assisted total ...

[Application of Machine Learning Algorithm in Anesthesia].

The application of artificial intelligence in medical field is promoting medical innovations.Specifically,machine learning algorithm promotes the deve...

Robot-Assisted Instrumented Fusion of a T8-9 Extension Distraction Fracture and Epidural Hematoma Evacuation: 2-Dimensional Operative Video.

The utilization of robotics has been gaining increased popularity in spine surgery. It can be used to assist in pedicle screw insertion when anatomy i...

Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.

BACKGROUND: Bedside monitors in the ICU routinely measure and collect patients' physiologic data in real time to continuously assess the health status...

Omitting Cortical Renorrhaphy in Robot-Assisted Partial Nephrectomy: Is it Safe? A Single Center Large Case Series.

Preserving renal function after robot-assisted partial nephrectomy (RAPN) is important and influenced by the technique of renal reconstruction among ...

[Machine learning in anesthesiology].

The application of artificial intelligence (AI) is currently changing very different areas of life. Artificial intelligence involves the emulation of ...

[On the future of machine learning in anesthesiology].

Automated Assessment System for Neonatal Endotracheal Intubation Using Dilated Convolutional Neural Network.

Neonatal endotracheal intubation (ETI) is an important, complex resuscitation skill, which requires a significant amount of practice to master. Curren...

Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Augmented intelligence in pediatric anesthesia and pediatric critical care.

PURPOSE OF REVIEW: Acute care technologies, including novel monitoring devices, big data, increased computing capabilities, machine-learning algorithm...

Artificial Intelligence in Anesthesiology: Hype, Hope, and Hurdles.

Autonomous Systems in Anesthesia: Where Do We Stand in 2020? A Narrative Review.

As most of us are aware, almost every facet of our society is becoming, for better or worse, progressively more technology-dependent. Technological ad...

Early Detection of Heart Failure With Reduced Ejection Fraction Using Perioperative Data Among Noncardiac Surgical Patients: A Machine-Learning Approach.

BACKGROUND: Heart failure with reduced ejection fraction (HFrEF) is a condition imposing significant health care burden. Given its syndromic nature an...

Forecasting a Crisis: Machine-Learning Models Predict Occurrence of Intraoperative Bradycardia Associated With Hypotension.

BACKGROUND: Predictive analytics systems may improve perioperative care by enhancing preparation for, recognition of, and response to high-risk clinic...