AIMC Topic: Anesthetics, Intravenous
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Increased Global and Regional Connectivity in Propofol-induced Unconsciousness: Human Intracranial Electroencephalography Study.
Anesthesiology
Apr 3, 2025
BACKGROUND: The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity changes in unconscious state have been inconsistent. These inconsistencies could arise from unclear...
Deep reinforcement learning for multi-targets propofol dosing.
Journal of clinical monitoring and computing
Mar 6, 2025
The administration of propofol for sedation or general anesthesia presents challenges due to the complex relationship between patient factors and real-time physiological responses. This study explores the application of deep reinforcement learning (D...
A Deep Learning Framework for Anesthesia Depth Prediction from Drug Infusion History.
Sensors (Basel, Switzerland)
Nov 6, 2023
In the target-controlled infusion (TCI) of propofol and remifentanil intravenous anesthesia, accurate prediction of the depth of anesthesia (DOA) is very challenging. Patients with different physiological characteristics have inconsistent pharmacodyn...
Propofol Anesthesia Depth Monitoring Based on Self-Attention and Residual Structure Convolutional Neural Network.
Computational and mathematical methods in medicine
Jan 29, 2022
METHODS: We compare nine index values, select CNN+EEG, which has good correlation with BIS index, as an anesthesia state observation index to identify the parameters of the model, and establish a model based on self-attention and dual resistructure c...
Ketofol as an Anesthetic Agent in Patients With Isolated Moderate to Severe Traumatic Brain Injury: A Prospective, Randomized Double-blind Controlled Trial.
Journal of neurosurgical anesthesiology
May 13, 2021
BACKGROUND: The effects of ketofol (propofol and ketamine admixture) on systemic hemodynamics and outcomes in patients undergoing emergency decompressive craniectomy for traumatic brain injury (TBI) are unknown and explored in this study.
Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia.
PloS one
May 6, 2021
In current anesthesiology practice, anesthesiologists infer the state of unconsciousness without directly monitoring the brain. Drug- and patient-specific electroencephalographic (EEG) signatures of anesthesia-induced unconsciousness have been identi...
Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia.
PloS one
Aug 26, 2020
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signal...
Optimal adaptive control of drug dosing using integral reinforcement learning.
Mathematical biosciences
Feb 5, 2019
In this paper, a reinforcement learning (RL)-based optimal adaptive control approach is proposed for the continuous infusion of a sedative drug to maintain a required level of sedation. To illustrate the proposed method, we use the common anesthetic ...
Alfaxalone for total intravenous anaesthesia in horses.
Veterinary anaesthesia and analgesia
Oct 28, 2018
OBJECTIVE: To determine the suitability of alfaxalone total intravenous (IV) anaesthesia in horses and concurrently evaluate infusion rates, cardiovascular effects, pharmacokinetics and the quality of the anaesthetic recovery period.
Improving the anesthetic process by a fuzzy rule based medical decision system.
Artificial intelligence in medicine
Jan 5, 2018
OBJECTIVE: The main objective of this research is the design and implementation of a new fuzzy logic tool for automatic drug delivery in patients undergoing general anesthesia. The aim is to adjust the drug dose to the real patient needs using heuris...
Infusion Pumps
Anesthesia, Intravenous
Brain Waves
Consciousness Monitors
Decision Support Techniques
Infusions, Intravenous
Clinical Decision-Making
Female
Electroencephalography
Adult
Signal Processing, Computer-Assisted
Anesthetics, Intravenous
Decision Support Systems, Clinical
Humans
Male
Fuzzy Logic
Middle Aged
Propofol
Time Factors
Predictive Value of Tests
Intraoperative Neurophysiological Monitoring
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