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ARTICLE TYPE : REVIEW ARTICLE

Published on :   10 Jan 2026, Volume - 2
Journal Title :   WebLog Journal of Pulmonology and Respiratory Medicine | WebLog J Pulmonol Respir Res
Source URL:   weblog iconhttps://weblogoa.com/articles/wjprm.2026.a1007
Permanent Identifier (DOI) :  doi iconhttps://doi.org/10.5281/zenodo.18302217

Artificial Intelligence in Detecting Ventilator Asynchrony: A New Clinical Window for Physical Therapy Intervention: Narrative Review

Nourhan Alsaeeid Alsaeeid 1 *
1Physical Therapy Practitioner and Researcher, Master’s Degree Candidate in Cardiovascular Respiratory Disorders and Geriatrics Faculty of Physical Therapy, Cairo University, Egypt, Bachelor’s Degree, Delta University for Science and Technology, Egypt

Abstract

IntroductionVentilator asynchrony is a frequent yet under-recognized problem in mechanically ventilated patients. Failure to detect asynchrony early may lead to prolonged ventilation, respiratory muscle weakness, and delayed rehabilitation. Recent advances in artificial intelligence have introduced smart camera and waveform-based systems capable of detecting subtle asynchrony patterns in real time Artificial Intelligence and Smart Monitoring Systems.

Citation

Nourhan Alsaeeid Alsaeeid. Artificial Intelligence in Detecting Ventilator Asynchrony: A New Clinical Window for Physical Therapy Intervention: Narrative Review. WebLog J Pulmonol Respir Res. wjprm.2026.a1007. https://doi.org/10.5281/zenodo.18302217
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