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

Mechanical Ventilation I: Indication and Settings01:29

Mechanical Ventilation I: Indication and Settings

1.3K
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...
1.3K
Mechanical Ventilation II: Invasive Ventilation01:23

Mechanical Ventilation II: Invasive Ventilation

360
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
Negative-pressure ventilators create a vacuum around the chest or body to draw air into the lungs, simulating breathing. This method does not require an...
360
Mechanical Ventilation III: Noninvasive Ventilation01:23

Mechanical Ventilation III: Noninvasive Ventilation

313
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...
313
Cardiopulmonary Resuscitation II: ACLS Airway Management01:22

Cardiopulmonary Resuscitation II: ACLS Airway Management

174
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...
174
Ventilatory Modes01:14

Ventilatory Modes

577
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
Full support modes include controlled mechanical ventilation, continuous mandatory...
577
Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques01:30

Cardiopulmonary Resuscitation V: Advanced Airway Management Techniques

139
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...
139

You might also read

Related Articles

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

Sort by
Same author

Negative-pressure pulmonary edema.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2026
Same author

Anatomy-Guided Radiology Report Generation With Pathology-Aware Regional Prompts.

IEEE open journal of engineering in medicine and biology·2026
Same author

Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysis.

Intensive care medicine·2026
Same author

Improving retrospective ARDS case-finding using a simple 72-h physiologic persistence rule.

Intensive care medicine experimental·2026
Same author

Time-varying associations between corticosteroid dose and hospital mortality in ARDS: a sliding-window analysis of MIMIC-IV.

BMC pulmonary medicine·2026
Same author

The influence of HLA matching on graft survival in lung transplant recipients is indication specific: An UNOS database analysis.

The European respiratory journal·2026

Related Experiment Video

Updated: Oct 10, 2025

Mechanical Ventilation Boot Camp Curriculum
07:36

Mechanical Ventilation Boot Camp Curriculum

Published on: March 12, 2018

10.3K

Is artificial intelligence ready to solve mechanical ventilation? Computer says blow.

Dominic C Marshall1, Matthieu Komorowski2

  • 1National Heart and Lung Institute, Imperial College London, London, UK.

British Journal of Anaesthesia
|December 14, 2021
PubMed
Summary

Artificial intelligence shows promise for patients on mechanical ventilation, aiding in treatment and decision-making. However, current studies reveal significant bias, indicating AI tools are not yet ready for widespread clinical use.

Keywords:
acute respiratory distress syndromeartificial intelligencecritical caremachine learningmechanical ventilation

More Related Videos

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
08:22

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

367
Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique
13:10

Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique

Published on: May 15, 2013

57.5K

Related Experiment Videos

Last Updated: Oct 10, 2025

Mechanical Ventilation Boot Camp Curriculum
07:36

Mechanical Ventilation Boot Camp Curriculum

Published on: March 12, 2018

10.3K
3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
08:22

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

Published on: September 19, 2025

367
Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique
13:10

Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique

Published on: May 15, 2013

57.5K

Area of Science:

  • Medical Informatics
  • Clinical Engineering
  • Artificial Intelligence in Medicine

Background:

  • Mechanical ventilation is critical for respiratory support, with AI offering potential advancements.
  • A systematic review identified 95 studies on AI applications for ventilated patients.
  • Most research has been published within the last five years, highlighting recent interest.

Discussion:

  • AI can help identify treatable patient phenotypes and optimize ventilation settings.
  • Clinical decision support systems powered by AI show potential for improving patient care.
  • The review highlights the growing body of research in this specialized field.

Key Insights:

  • The majority of reviewed studies exhibit considerable methodological bias.
  • Current AI applications for ventilated patients are far from widespread clinical deployment.
  • Significant limitations exist in the current research landscape.

Outlook:

  • Further rigorous research is needed to overcome existing biases.
  • Developing robust AI solutions requires addressing current methodological shortcomings.
  • Future work should focus on validating AI tools for safe and effective clinical integration.