Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

General Anesthesia: Overview01:24

General Anesthesia: Overview

151
Anesthesia is a medical procedure that uses drugs for CNS suppression to enable painless surgeries and procedures. The selection of anesthetics is influenced by their pharmacokinetic properties, side effects, and patient characteristics. Various types of anesthesia include general, local, regional, spinal, and inhalational.
General anesthesia induces unconsciousness in the whole body, while the others target specific areas or sensations. It is administered to minimize adverse effects, maintain...
151
Stages of General Anesthesia01:22

Stages of General Anesthesia

298
Various sedation levels offer significant advantages in facilitating procedural interventions for patients undergoing medical or invasive surgical procedures. These levels span from anxiolysis to general anesthesia, providing a spectrum of sedative effects to cater to specific patient needs. Anxiolysis reduces anxiety and is achieved through minimal sedation, enabling patients to remain awake and responsive while feeling more at ease during the procedure. This level can benefit minor...
298
Local Anesthetics: Clinical Application as Epidural Anesthesia01:29

Local Anesthetics: Clinical Application as Epidural Anesthesia

396
Epidural anesthetics are administered in the fat-filled epidural space, the outermost part of the spinal canal. This technique is commonly employed for pain management and anesthesia during lower abdomen and pelvis surgeries or labor and delivery.
Since epidural anesthetics can be infused through an epidural catheter, all types of drugs, including short-acting ones, can be administered. Chloroprocaine and lidocaine are examples of short and long-duration anesthetics, respectively. Bupivacaine...
396
Local Anesthetics: Clinical Application as Spinal Anesthesia01:11

Local Anesthetics: Clinical Application as Spinal Anesthesia

553
Spinal anesthetics are given during lower abdomen and limb surgeries to block sensory and motor neurons. They are administered in the mid to low lumbar regions, primarily acting on the cauda equina's nerve roots. The blockade level depends on the local anesthetic (LA) concentration. Usually, low LA concentrations are sufficient to block sensory fibers, while only high LA concentrations block motor fibers. Other factors like injection volume and speed, the patient's posture, and the drug...
553
Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy01:26

Endoscopic Procedures IV: Sigmoidoscopy and Laproscopy

29
Sigmoidoscopy and laparoscopy are distinct medical procedures that enable physicians to internally inspect different parts of the GI tract. Although they serve different purposes, each is essential for diagnosing and, in some cases, treating various medical conditions.
Sigmoidoscopy
Sigmoidoscopy is a diagnostic procedure that uses a flexible sigmoidoscope equipped with a light source and camera to examine the rectum and sigmoid colon. The procedure involves inserting the tube through the anus...
29
Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia01:16

Local Anesthetics: Clinical Application as Intravenous Regional Anesthesia

323
Intravenous regional anesthesia or the Bier block technique is used to anesthetize a specific limb or extremity. It uses exsanguinated or blood-drained vessels to transport local anesthetics or LAs to the peripheral nerve trunks. Lidocaine without vasoconstrictors like epinephrine is most commonly used for this technique. Other drugs used are prilocaine, ropivacaine, and chloroprocaine. Bupivacaine is not recommended for this technique due to its high cardiac toxicity.
One of the advantages of...
323

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Advanced treatment of biologically pretreated coal gasification wastewater by a novel integration of heterogeneous Fenton oxidation and biological process.

Bioresource technology·2015
Same author

Immunogenicity of the Bivalent Oral Cholera Vaccine Shanchol in Haitian Adults With HIV Infection.

The Journal of infectious diseases·2015
Same author

No Superiority of High-Flexion vs Standard Total Knee Arthroplasty: An Update Meta-Analysis of Randomized Controlled Trials.

The Journal of arthroplasty·2015
Same author

When plants produce not enough or at all: metabolic engineering of flavonoids in microbial hosts.

Frontiers in plant science·2015
Same author

Synthesis and molecular structure of the 5-methoxycarbonylpentyl α-glycoside of the upstream, terminal moiety of the O-specific polysaccharide of Vibrio cholerae O1, serotype Inaba.

Molecules (Basel, Switzerland)·2015
Same author

Comparative analysis of sequence feature and expression of two heat shock cognate 70 genes in mandarin fish Siniperca chuatsi.

Gene·2015

Related Experiment Video

Updated: May 10, 2025

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

21.3K

Multi-layered data framework for enhancing postoperative outcomes and anaesthesia management through natural language

Peng Xu1

  • 1The Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, 563000, PR China.

SLAS Technology
|April 19, 2025
PubMed
Summary

Anaesthesia CareNet uses advanced AI, including Natural Language Processing and a specialized logistic regression model, to improve patient outcomes. This AI framework enhances personalized anesthesia management and predicts postoperative complications with high accuracy.

Keywords:
Anaesthesia ManagementClinical DataIntelligent golden eagle fine-tuned logistic regression (ige-lr)Large language model (llm)Natural language processing (nlp)Personalized

More Related Videos

Author Spotlight: A Non-Intubated Video-Assisted Thoracoscopic Surgery with Multimodal Analgesia and Sevoflurane Inhalation Anesthesia
05:39

Author Spotlight: A Non-Intubated Video-Assisted Thoracoscopic Surgery with Multimodal Analgesia and Sevoflurane Inhalation Anesthesia

Published on: May 26, 2023

1.4K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

44.7K

Related Experiment Videos

Last Updated: May 10, 2025

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
14:56

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

Published on: January 27, 2010

21.3K
Author Spotlight: A Non-Intubated Video-Assisted Thoracoscopic Surgery with Multimodal Analgesia and Sevoflurane Inhalation Anesthesia
05:39

Author Spotlight: A Non-Intubated Video-Assisted Thoracoscopic Surgery with Multimodal Analgesia and Sevoflurane Inhalation Anesthesia

Published on: May 26, 2023

1.4K
Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
13:12

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping

Published on: August 12, 2019

44.7K

Area of Science:

  • Artificial Intelligence in Medicine
  • Computational Life Sciences
  • Data Science in Healthcare

Background:

  • Anesthesia management is crucial for patient recovery and outcomes, but variability and complications pose challenges.
  • Existing methods struggle with personalized patient responses and predicting postoperative issues.
  • There is a need for advanced analytical frameworks to improve anesthesia care and outcome prediction.

Purpose of the Study:

  • To introduce Anaesthesia CareNet, a novel architecture for personalized anesthesia management and outcome prediction.
  • To leverage advanced Natural Language Processing (NLP) and machine learning for analyzing diverse clinical data.
  • To enhance the precision and efficiency of perioperative care through AI-driven insights.

Main Methods:

  • Developed a two-layered architecture: Data Processing and Predictive Modeling.
  • Applied NLP techniques (NER, normalization, lemmatization, stemming) and Generative Pre-trained Transformer 3 (GPT-3) for unstructured data analysis.
  • Utilized the Intelligent Golden Eagle Fine-Tuned Logistic Regression (IGE-LR) model for predictive analysis of complications and recovery.

Main Results:

  • The IGE-LR model achieved high performance metrics: 91.7% accuracy, 90.6% specificity, 90% AUC, 91.3% recall, 90.1% precision, and 90.4% F1-Score.
  • Demonstrated the capability to analyze complex clinical narratives and predict postoperative recovery trajectories.
  • Showcased the potential for personalized anesthesia management and improved patient outcomes.

Conclusions:

  • Anaesthesia CareNet offers a powerful AI-driven framework for transforming anesthesia management and perioperative care.
  • The methodology shows significant potential for broader applications in diagnostics, drug discovery, and personalized medicine.
  • This approach advances personalized healthcare by providing a precise, efficient, and dynamic treatment management system.