4.6 Article

Application of Machine Learning Strategies to Model the Effects of Sevoflurane on Somatosensory-Evoked Potentials during Spine Surgery

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Medicine, General & Internal

The Use of Intraoperative Neuromonitoring for Cervical Spine Surgery: Indications, Challenges, and Advances

John Preston Wilson et al.

Summary: Intraoperative neuromonitoring (IONM) has become an essential tool in cervical spine surgeries to reduce complications. Understanding its development, indications, pitfalls, and recent advancements can optimize its utilization. Although IONM shows promise in complex cases, its routine use in moderate cervical spine pathologies is debated. Addressing issues such as human error, communication efficiency, alarm criteria, and checklist standardization is necessary. As IONM technology continues to advance, it plays a crucial role in enhancing patient safety protocols.

JOURNAL OF CLINICAL MEDICINE (2023)

Article Rheumatology

Impact of multimodal intraoperative neurophysiological monitoring of the spinal cord during spine and spinal cord surgeries

Walaa Elwakil et al.

Summary: Multimodal intraoperative neurophysiological monitoring (IONM) plays a valuable role in spine and spinal cord surgeries, as it allows for the recognition of functional changes in neural elements, reducing the risk of postoperative neurological dysfunction and improving functional outcomes. It can prevent and predict iatrogenic neurological dysfunction during surgery.

EGYPTIAN RHEUMATOLOGY AND REHABILITATION (2023)

Article Chemistry, Analytical

Interpreting support vector machines applied in laser-induced breakdown spectroscopy

Erik Kepes et al.

Summary: This article presents four approaches to interpret support vector machines (SVMs) and investigates the classification task of 19 algal and cyanobacterial species. The study finds that different feature importance metrics provide complementary information, and identifies the SVM model's bias towards features with a large variance.

ANALYTICA CHIMICA ACTA (2022)

Review Cell Biology

A guide to machine learning for biologists

Joe G. Greener et al.

Summary: This passage discusses the application of machine learning in the analysis of biological data and provides guidance for experimentalists. The increasing scale and complexity of biological data have led to a growing use of machine learning in biology.

NATURE REVIEWS MOLECULAR CELL BIOLOGY (2022)

Editorial Material Anesthesiology

Linear Regression in Medical Research

Patrick Schober et al.

ANESTHESIA AND ANALGESIA (2021)

Article Pediatrics

A Comparison of the Sevoflurane and Total Intravenous Anesthesia on the Quality of Recovery in 2 to 10-Year-Old Children

Dariush Sheikhzade et al.

Summary: This study compared the effects of TIVA and sevoflurane anesthesia on the quality of recovery in children aged 2 to 10 years undergoing outpatient surgery. It was found that patients in the TIVA group had lower rates of postoperative agitation, pain, and anxiety compared to the sevoflurane group, but patients in the sevoflurane group had faster recovery from anesthesia.

IRANIAN JOURNAL OF PEDIATRICS (2021)

Article Anesthesiology

Effects of desflurane and sevoflurane on somatosensory-evoked and motor-evoked potential monitoring during neurosurgery: a randomized controlled trial

Xiang Bingbing et al.

Summary: Studies have shown that both desflurane and sevoflurane have a dose-dependent inhibitory effect on SEPs and MEPs during neurosurgery, with desflurane appearing to have a stronger inhibitory effect at the same MAC concentration compared to sevoflurane.

BMC ANESTHESIOLOGY (2021)

Article Orthopedics

Multimodal Intraoperative Neurophysiological Monitoring in Spine Surgeries: The Experience at a Spine Centre through Years

Deepak Rajappa et al.

Summary: The study utilized multimodal intraoperative neurophysiological monitoring in spine surgeries to detect and prevent neurological injuries, with 96.6% of patients showing intraoperative recording changes, 28 developing postoperative neurological deficits, demonstrating high sensitivity and specificity of the method.

ASIAN SPINE JOURNAL (2021)

Article Clinical Neurology

The Utility of Multimodal Intraoperative Neuromonitoring in Spine Surgery: Case Series from a Lower-Middle-Income Country Perspective

Rania A. AlMahdy et al.

Summary: Multimodal intraoperative neuromonitoring (IOM) is an effective tool for predicting and preventing postoperative neurologic deficits in LMICs. The reversibility of alerts was significantly related to the development of new postoperative deficits, but the cause or frequency of alerts was not. Sensitivity, specificity, positive predictive value, and negative predictive value of combined IOM were high, indicating its potential for enhancing surgical safety.

WORLD NEUROSURGERY (2021)

Editorial Material Biochemistry & Molecular Biology

Neural network models and deep learning

Nikolaus Kriegeskorte et al.

CURRENT BIOLOGY (2019)

Review Anesthesiology

Intraoperative neurophysiological monitoring in neuroanesthesia

Rogean R. Nunes et al.

CURRENT OPINION IN ANESTHESIOLOGY (2018)

Article Chemistry, Physical

Time and Frequency-Domain Measurement of Ground-State Recovery Times in Red Fluorescent Proteins

Premashis Manna et al.

JOURNAL OF PHYSICAL CHEMISTRY B (2015)

Editorial Material Pharmacology & Pharmacy

Anesthesia and evoked responses in neurosurgery

Nicoleta Stoicea

FRONTIERS IN PHARMACOLOGY (2014)

Article Clinical Neurology

Intraoperative neurophysiological monitoring during spine surgery: a review

Andres A. Gonzalez et al.

NEUROSURGICAL FOCUS (2009)

Review Anesthesiology

Effects of anesthetic agents and physiologic changes on intraoperative motor evoked potentials

ML Lotto et al.

JOURNAL OF NEUROSURGICAL ANESTHESIOLOGY (2004)