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Related Concept Videos

Parenteral Anesthetics: Overview01:24

Parenteral Anesthetics: Overview

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Intravenous anesthetics are drugs administered parenterally to induce anesthesia or sedation. Propofol is a widely used agent formulated as a 1% emulsion in soybean oil, glycerol, and egg phosphatide. It induces rapid anesthesia primarily due to its rapid distribution from the bloodstream to target tissues and is metabolized in the liver. However, it can cause significant pain on injection and hypertriglyceridemia. Fospropofol, a water-based prodrug of propofol, lacks these adverse effects.
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General Anesthesia: Overview01:24

General Anesthesia: Overview

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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...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Inhalational Anesthetics: Overview01:20

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Inhalation anesthetics are drugs that induce general anesthesia upon inhalation. They work by increasing the sensitivity of GABAA receptors or inhibiting NMDA receptors, leading to a decrease in central nervous system activity. The depth of anesthesia can be rapidly adjusted by changing the concentration of the inhaled gas. Some common examples of inhalational anesthetics include volatile liquids like isoflurane, desflurane, sevoflurane and gases like xenon and nitrous oxide. Isoflurane, a...
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Updated: Sep 13, 2025

Use of a Piglet Model for the Study of Anesthetic-induced Developmental Neurotoxicity AIDN: A Translational Neuroscience Approach
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Artificial Intelligence in Pediatric Anesthesia.

Firoozeh Madadi1, Ali Dabbagh1, A Sassan Sabouri2

  • 1Department of Anesthesiology, School of Medicine, Anesthesiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Anesthesiology Clinics
|August 2, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can improve pediatric anesthesiology safety and efficiency. Tailored AI algorithms using pediatric-specific data are crucial for effective perioperative care, necessitating further research.

Keywords:
Airway managementArtificial intelligence (AI)Machine learning (ML)Pediatric anesthesiologyPerioperative decision support

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Area of Science:

  • Pediatric Anesthesiology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Pediatric anesthesia presents unique challenges including physiological differences and congenital conditions.
  • Current artificial intelligence (AI) applications in medicine often lack pediatric-specific considerations.
  • The perioperative period in pediatric patients requires specialized safety and efficiency measures.

Purpose of the Study:

  • To explore the integration of artificial intelligence (AI) in pediatric anesthesiology.
  • To highlight AI's potential to enhance perioperative safety, efficiency, and decision-making.
  • To identify the need for pediatric-specific AI data and algorithms.

Main Methods:

  • Review of current and developing AI applications in pediatric anesthesia.
  • Analysis of AI's role in operating room management, airway assessment, intraoperative monitoring, and postoperative care.
  • Discussion of challenges and requirements for pediatric AI implementation.

Main Results:

  • AI tools show promise in predicting surgical cancellations, difficult airways, hypoxia, and intubation parameters.
  • Adult AI models are often unsuitable for pediatric patients.
  • Pediatric-specific data and tailored algorithms are essential for effective AI integration.

Conclusions:

  • AI holds significant potential to advance pediatric anesthesiology.
  • Rigorous research and ethical considerations are paramount for successful AI implementation.
  • Development of pediatric-specific AI is critical for optimizing patient outcomes.