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Related Concept Videos

Mechanical Ventilation I: Indication and Settings01:29

Mechanical Ventilation I: Indication and Settings

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Mechanical ventilation is a life-saving technique for managing acute respiratory failure and other respiratory complications. The process involves using a machine known as a ventilator to supply oxygen to the lungs and assist in removing carbon dioxide. It serves as a bridge to long-term mechanical ventilation or a temporary measure until ventilatory support is discontinued. The ventilator can maintain this function for a prolonged period, providing critical support for patients until they can...
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Ventilatory Modes01:14

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Mechanical ventilators are life-saving devices that support or replace spontaneous breathing. They deliver breaths to patients through varying methods known as ventilator modes. Understanding these modes is critical for healthcare providers managing patients with respiratory failure.
There are three ventilatory modes: full support, partial support, and spontaneous. These are described below.
Full Support Modes
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Mechanical Ventilation III: Noninvasive Ventilation01:23

Mechanical Ventilation III: Noninvasive Ventilation

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Noninvasive positive-pressure ventilation (NIPPV), continuous positive airway pressure (CPAP), and bilevel positive airway pressure (BiPAP) are essential methods in respiratory care. These ventilation techniques offer unique benefits for patients with various respiratory conditions, providing adequate support without requiring intubation. Let's explore how each method is crucial in improving patient outcomes and enhancing respiratory therapy.
Noninvasive Positive-Pressure Ventilation...
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Mechanical Ventilation II: Invasive Ventilation01:23

Mechanical Ventilation II: Invasive Ventilation

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Ventilators are essential medical equipment used to aid patients with respiratory difficulties. Their primary function is to assist or replace spontaneous breathing by providing mechanical ventilation. There are two general classes of mechanical ventilators: negative-pressure and positive-pressure ventilators.
Negative-Pressure Ventilators
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Cardiopulmonary Resuscitation II: ACLS Airway Management01:22

Cardiopulmonary Resuscitation II: ACLS Airway Management

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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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Acute Respiratory Failure-V01:29

Acute Respiratory Failure-V

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The treatment for acute respiratory failure varies based on factors like the underlying cause, overall health, and severity. A collaborative healthcare team is essential for early detection, often through arterial blood gas analysis. Identifying the cause is the primary goal, with treatment strategies adjusted for ventilation/perfusion (V/Q) mismatch, shunting, or diffusion impairment.
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Flow Asynchronies During Pressure Support Ventilation in Children: A Bench Model Study.

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Transpulmonary Pressure-Guided Ventilation in Pediatric Acute Respiratory Distress Syndrome: Methodological Challenges on the Path to Clinical Implementation.

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The Accuracy of Plateau and Driving Pressures During Assisted and Spontaneous Ventilation Depends on the Degree of Inspiratory Effort and Duration of the Inspiratory Hold.

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Related Experiment Video

Updated: Jan 6, 2026

Mechanical Ventilation Boot Camp Curriculum
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Decision Assist During Mechanical Ventilation.

Justin C Hotz1, Daniel Chang1, Robinder G Khemani1,2

  • 1Mr. Hotz, Chang, Dr. Khemani and Prof. Newth are affiliated with Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, California, USA.

Respiratory Care
|October 31, 2025
PubMed
Summary
This summary is machine-generated.

Decision assist systems offer real-time, data-driven recommendations for mechanical ventilation, aiding clinicians in complex intensive care decisions. These tools support lung and diaphragm protection while maintaining patient safety and improving care quality.

Keywords:
artificial intelligenceclinical decision assistdecision support systemsdiaphragm protectionlung protectionmachine learningmechanical ventilation

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Area of Science:

  • Critical Care Medicine
  • Biomedical Engineering
  • Respiratory Therapy

Background:

  • Mechanical ventilation is complex, increasing clinician cognitive burden with evolving protective strategies.
  • Current ventilation management faces challenges in balancing evidence-based protocols with individualized patient needs.
  • Decision assist systems offer a novel approach to support clinicians in optimizing mechanical ventilation.

Purpose of the Study:

  • To review the current landscape of decision assist systems in mechanical ventilation.
  • To explore the potential benefits, challenges, and future directions of these systems.
  • To illustrate principles using the REDvent decision assist system as an example.

Main Methods:

  • Narrative review of decision assist systems in mechanical ventilation.
  • Examination of technical challenges and implementation barriers.
  • Case illustration using the REDvent system and its phase 2 clinical trial.

Main Results:

  • Decision assist systems can improve health equity, reduce practice variation, and enhance adherence to protective ventilation.
  • Balancing lung protection and diaphragm preservation is a key consideration in system development.
  • The REDvent system demonstrates a pragmatic approach to real-time, effort-driven ventilator management.

Conclusions:

  • Decision assist systems provide a pragmatic solution to enhance mechanical ventilation management in intensive care units.
  • These systems maintain clinician oversight while offering data-driven recommendations for optimized patient care.
  • While fully automated systems face challenges, decision assist tools represent a promising advancement in critical care technology.