AIMC Topic: Anesthetics

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From neurotoxicity to neuroprotection: Rethinking GABAR-targeting anesthetics.

Cell biology and toxicology Jun 14, 2025
The brain growth spurt (BGS) represents a pivotal window in neurodevelopment, defined by rapid neurogenesis, heightened synaptogenesis, and the dynamic establishment of neural networks. During this phase, heightened brain plasticity significantly enh...
Brain Animals Oxidative Stress Humans Anesthetics Neurotoxicity Syndromes Receptors, GABA-A Brain-Derived Neurotrophic Factor Neuroprotective Agents Neuroprotection
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Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia.

Journal of chemical information and modeling Mar 17, 2025
Anesthetics are crucial in surgical procedures and therapeutic interventions, but they come with side effects and varying levels of effectiveness, calling for novel anesthetic agents that offer more precise and controllable effects. Targeting Gamma-a...
Receptors, GABA Anesthetics Humans Machine Learning Protein Interaction Maps Proteomics
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Robotic Anesthesia: A Vision for 2050.

Anesthesia and analgesia Jan 12, 2024
The last 2 decades have brought important developments in anesthetic technology, including robotic anesthesia. Anesthesiologists titrate the administration of pharmacological agents to the patients' physiology and the needs of surgery, using a variet...
Anesthesia Anesthetics Artificial Intelligence Robotics Robotic Surgical Procedures Humans
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Surgeons, anaesthetic assistants and robots.

Journal of the Royal Society of Medicine Jun 19, 2023
Surgeons Clinical Competence Robotics Humans Anesthetics
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Anesthetic implications in the placement of deep brain electrodes through a stereotactic robot in the study of drug resistant epilepsy.

Revista espanola de anestesiologia y reanimacion Feb 24, 2023
Brain Robotics Electrodes Humans Anesthetics Drug Resistant Epilepsy
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Inference of Brain States Under Anesthesia With Meta Learning Based Deep Learning Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 2, 2022
Monitoring the depth of unconsciousness during anesthesia is beneficial in both clinical settings and neuroscience investigations to understand brain mechanisms. Electroencephalogram (EEG) has been used as an objective means of characterizing brain a...
Anesthetics Algorithms Brain Deep Learning Electroencephalography Anesthesia Brain-Computer Interfaces Humans Neural Networks, Computer
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Predicting anesthetic infusion events using machine learning.

Scientific reports Dec 8, 2021
Recently, research has been conducted to automatically control anesthesia using machine learning, with the aim of alleviating the shortage of anesthesiologists. In this study, we address the problem of predicting decisions made by anesthesiologists d...
Anesthetics Decision Making Anesthesiologists Humans Machine Learning
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Smart Portable Pen for Continuous Monitoring of Anaesthetics in Human Serum With Machine Learning.

IEEE transactions on biomedical circuits and systems May 25, 2021
Continuous monitoring of anaesthetics infusion is demanded by anaesthesiologists to help in defining personalized dose, hence reducing risks and side effects. We propose the first piece of technology tailored explicitly to close the loop between anae...
Electronics Humans Electric Power Supplies Anesthesiology Machine Learning Drug Monitoring Anesthetics
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How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness.

NeuroImage Feb 9, 2021
In recent years, specific cortical networks have been proposed to be crucial for sustaining consciousness, including the posterior hot zone and frontoparietal resting state networks (RSN). Here, we computationally evaluate the relative contributions ...
Frontal Lobe Male Neural Networks, Computer Parietal Lobe Propofol Default Mode Network Female Consciousness Humans Electroencephalography Young Adult Anesthetics Unconsciousness
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
ROC Curve Anesthesia, General Bayes Theorem Risk Assessment Monitoring, Intraoperative Arterial Pressure Models, Cardiovascular Anesthetics Feasibility Studies Hypotension Cholecystectomy, Laparoscopic Intubation, Intratracheal Female Machine Learning Drug Delivery Systems Aged Retrospective Studies Humans Male Adult Electronic Health Records Neural Networks, Computer Middle Aged
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