AIMC Topic: Anesthesia

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Leveraging advanced graph neural networks for the enhanced classification of post anesthesia states to aid surgical procedures.

PloS one Apr 25, 2025
Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousness. Precise control is crucial for safe and pain-free surgeries. Monitoring anesthesia depth accurately is essential to guide anesthesiologists, optim...
Graph Neural Networks Brain Wakefulness Anesthesia Machine Learning Algorithms Humans Neural Networks, Computer
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Enhancing Ophthalmic Anesthesia Optimization with Predictive Embedding Models.

SLAS technology Apr 10, 2025
Ophthalmic anesthesia the crucial factors in success and safety of ophthalmic surgery, which involves the delicate aspects of pain control, sedation, and patient response. Advances in ophthalmic surgery cause a need for exact and individualized anest...
Humans Natural Language Processing Anesthesia Ophthalmologic Surgical Procedures Machine Learning Algorithms
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Anesthesia depth prediction from drug infusion history using hybrid AI.

BMC medical informatics and decision making Apr 8, 2025
BACKGROUND: Accurately predicting the depth of anesthesia is essential for ensuring patient safety and optimizing surgical outcomes. Traditional regression-based approaches often struggle to model the complex and dynamic nature of patient responses t...
Deep Learning Anesthesia Humans Machine Learning
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Utilization of non-invasive ventilation before prehospital emergency anesthesia in trauma - a cohort analysis with machine learning.

Scandinavian journal of trauma, resuscitation and emergency medicine Mar 3, 2025
BACKGROUND: For preoxygenation, German guidelines consider non-invasive ventilation (NIV) as a possible method in prehospital trauma care in the absence of aspiration, severe head or face injuries, unconsciousness, or patient non-compliance. As data ...
Machine Learning Retrospective Studies Female Humans Registries Anesthesia Wounds and Injuries Noninvasive Ventilation Germany Middle Aged Cohort Studies Emergency Medical Services Adult Male
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management.

BMC medical informatics and decision making Feb 22, 2025
BACKGROUND: Post-induction hypotension (PIH) increases surgical complications including myocardial injury, acute kidney injury, delirium, stroke, prolonged hospitalization, and endangerment of the patient's life. Machine learning is an effective tool...
Male Middle Aged Hypotension Aged Adult Anesthesia Humans Female Risk Factors Machine Learning
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Comparison of AI applications and anesthesiologist's anesthesia method choices.

BMC anesthesiology Jan 3, 2025
BACKGROUND: In medicine, Artificial intelligence has begun to be utilized in nearly every domain, from medical devices to the interpretation of imaging studies. There is still a need for more experience and more studies related to the comprehensive u...
Anesthesiologists Adult Female Orthopedic Procedures Humans Male Aged Anesthesia, Spinal Middle Aged Artificial Intelligence Anesthesia
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Classification of Three Anesthesia Stages Based on Near-Infrared Spectroscopy Signals.

IEEE journal of biomedical and health informatics Sep 5, 2024
Proper monitoring of anesthesia stages can guarantee the safe performance of clinical surgeries. In this study, different anesthesia stages were classified using near-infrared spectroscopy (NIRS) signals with machine learning. The cerebral hemodynami...
Female Young Adult Humans Support Vector Machine Middle Aged Adult Signal Processing, Computer-Assisted Spectroscopy, Near-Infrared Male Anesthesia Monitoring, Intraoperative
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Artificial intelligence-assisted interventions for perioperative anesthetic management: a systematic review and meta-analysis.

BMC anesthesiology Sep 4, 2024
BACKGROUND: Integration of artificial intelligence (AI) into medical practice has increased recently. Numerous AI models have been developed in the field of anesthesiology; however, their use in clinical settings remains limited. This study aimed to ...
Anesthesia Perioperative Care Humans Artificial Intelligence Randomized Controlled Trials as Topic
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Can the Pioneering Impact of Artificial Intelligence in Anaesthetic Practice Uphold Good Medical Practice?

British journal of hospital medicine (London, England : 2005) Aug 30, 2024
The potential applications of Artificial Intelligence (AI) in anaesthesia are expansive.~However, like any technological advancement, the integration of AI in anaesthetic practice comes with both benefits and potential risks. This article seeks to se...
Humans Anesthesia Anesthesiology Artificial Intelligence
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SQI-DOANet: electroencephalogram-based deep neural network for estimating signal quality index and depth of anaesthesia.

Journal of neural engineering Jul 30, 2024
. Monitoring the depth of anaesthesia (DOA) during surgery is of critical importance. However, during surgery electroencephalography (EEG) is usually subject to various disturbances that affect the accuracy of DOA. Therefore, accurately estimating no...
Humans Neural Networks, Computer Deep Learning Anesthesia Electroencephalography Signal Processing, Computer-Assisted
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