Anesthesiology

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

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Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

Electroencephalogram (EEG) signals, as it can express the human brain's activities and reflect aware...

Rapid automated classification of anesthetic depth levels using GPU based parallelization of neural networks.

The effect of anesthesia on the patient is referred to as depth of anesthesia. Rapid classification ...

Obesity and perioperative pulmonary complications in robotic gynecologic surgery.

OBJECTIVE: Robotic gynecological surgery is feasible in obese patients, but there remain concerns ab...

Perioperative and long-term renal functional outcomes of robotic versus laparoscopic partial nephrectomy: a multicenter matched-pair comparison.

PURPOSE: We compared perioperative and long-term renal functional outcomes of robot-assisted partial...

Comparison of perioperative outcomes between robotic and laparoscopic partial nephrectomy: a systematic review and meta-analysis.

CONTEXT: Robotic partial nephrectomy (RPN) is rapidly increasing; however, the benefit of RPN over l...

Determining the appropriate amount of anesthetic gas using DWT and EMD combined with neural network.

The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal proc...

Modeling analgesic drug interactions using support vector regression: a new approach to isobolographic analysis.

BACKGROUND: Modeling drug interactions is important for illustrating combined drug actions and for p...

Perioperative outcomes of robotic partial nephrectomy for intrarenal tumors.

INTRODUCTION: Intrarenal tumors pose a unique challenge to surgeons due to the lack of visual cues o...

Optimizing Nursing Records: Exploring the Impact of AI-Enhanced Documentation.

The standardization of medical records through structured templates has gained importance in improvi...

DEMAC-Net: A Dual-Encoder Multiattention Collaborative Network for Cervical Nerve Pathway and Adjacent Anatomical Structure Segmentation.

OBJECTIVE: Currently, cervical anesthesia is performed using three main approaches: superficial cerv...

A Spatial Metabolomics Annotation Workflow Leveraging Cyclic Ion Mobility and Machine Learning-Predicted Collision Cross Sections.

In nontargeted spatial metabolomics, accurate annotation is crucial for understanding metabolites' b...

Chinese acupoint therapies in cancer pain management: research advances and future perspectives.

Cancer pain management (CPM) is crucial in oncology care, with current approaches including pharmaco...

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