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...

Feb 2015 25738152
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 ...

Feb 2015 25650073
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...

Jan 2015 25585500
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...

Dec 2014 25472730
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...

Sep 2014 25264307
Personalized Brain-Based Analgesia Detection with Portable fNIRS and AI

Neuroimaging based pain decoding faces two underappreciated challenges: between subject variability ...

Language-dependent diagnostic safety of medical AI systems: a cross-lingual benchmarking and prospective clinical study

Background Patients worldwide receive healthcare in many languages, yet medical AI systems are valid...

TouchMap-OR: Multi-View 3D Mapping of Hand-Surface Contacts

Hand-surface interactions between clinicians, patients, and medical equipment play a central role in...

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining pati...

Yawning reveals energy-dynamics mismatch and neural inertia across state transitions

Yawning is a highly conserved behavior, yet its neural dynamics across arousal state transitions rem...

Developmental brain age gap in prematurity and postnatally emerging delay in congenital heart disease

Brain development follows a precisely regulated biological timetable, with defined periods of vulner...

Context-Aware Emergency Department Triage Using Pairwise Comparisons and Bradley-Terry Aggregation

Objective: To evaluate a ranking approach for emergency department (ED) waiting room prioritization ...

Real-Time Glottis Detection Framework via Spatial-decoupled Feature Learning for Nasal Transnasal Intubation

Nasotracheal intubation (NTI) is a vital procedure in emergency airway management, where rapid and a...

Trustworthy personalized treatment selection: causal effect-trees and calibration in perioperative medicine

Background Personalized medicine promises to tailor treatments to the individual, but it carries a h...

Evaluating the AI Potential as a Safety Net for Diagnosis: A Novel Benchmark of Large Language Models in Correcting Diagnostic Errors

Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring durin...

Plasticity and Language in the Anesthetized Human Hippocampus

Consciousness is a fundamental component of cognition,1 but the degree to which higher-order pattern...

Detector-in-the-Loop Tracking: Active Memory Rectification for Stable Glottic Opening Localization

Temporal stability in glottic opening localization remains challenging due to the complementary weak...

On Safer Reinforcement Learning Policies for Sedation and Analgesia in Intensive Care

Pain management in intensive care usually involves complex trade-offs between therapeutic goals and ...

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