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Related Concept Videos

Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques01:30

Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques

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Airway management is essential in emergency and surgical medicine, ensuring ventilation and oxygenation in patients who cannot maintain their own airway. Clinicians use a range of techniques and devices to secure the airway, depending on the patient’s condition and the clinical context. Key methods include endotracheal intubation, rapid sequence intubation (RSI), supraglottic airway devices, and advanced visualization aids. In cases where these approaches fail, surgical airway...
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Cardiopulmonary Resuscitation II: ACLS Airway Management01:22

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Airway management is a key skill in emergency and critical care settings, as maintaining a clear airway is essential for adequate oxygenation and ventilation.Head Tilt-Chin Lift TechniqueThe head tilt-chin lift maneuver is an essential technique primarily used in patients without suspected cervical spine injuries. To perform this maneuver, one hand is placed on the patient’s forehead, and gentle pressure is applied backward to tilt the head. The fingertips of the other hand are positioned...
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Suctioning the Nasopharyngeal Airway01:29

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Nasopharyngeal suctioning is a procedure to remove secretions from the upper part of the respiratory tract that the patient cannot clear independently. It helps maintain airway patency and prevents complications such as aspiration pneumonia.
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A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
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Asthma Detection Research Based on Voice Signal Processing and Machine Learning
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Published on: July 22, 2025

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Artificial intelligence, machine learning and the pediatric airway.

Clyde Matava1,2, Evelina Pankiv1,2, Luis Ahumada3

  • 1Department of Anesthesia and Pain Medicine, The Hospital for Sick Children, Toronto, ON, Canada.

Paediatric Anaesthesia
|December 18, 2019
PubMed
Summary

Artificial intelligence (AI) and machine learning (ML) offer promising tools for pediatric anesthesia airway management. This review explores AI/ML applications, limitations, and future research directions in this field.

Failed At:

2026-06-19T13:38:27.128283+00:00

Keywords:
adolescentageairwayairway difficultchildinfantneonate

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